{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video Caption\n",
    "* Source code come from : xiadingZ/video-caption.pytorch\n",
    "* github: https://github.com/xiadingZ/video-caption.pytorch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Note: you can get better image features by CNN \n",
    "![](./image/s2vt.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 注意：\n",
    "#### 網路 video caption 相關程式都包的太好而不好理解，這裡簡單重寫並只保留主軸以便說明！！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# special package <conda install>\n",
    "import cv2 as cv\n",
    "import imageio\n",
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json  \n",
    "import pickle\n",
    "import collections\n",
    "from collections import Counter  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Input data - video (.avi file)\n",
    "* Dataset： MSVD \n",
    "-\t1450 videos for training / 100 videos for testing\n",
    "* Download: https://drive.google.com/file/d/1zDzkDpN0fXf1gBclH0yqLWaKat1AVfo7/view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# database folder\n",
    "path = './video_data/training_data/video/'\n",
    "\n",
    "# dictionary of video_name-index\n",
    "avi_idx = {}\n",
    "for idx, avi in enumerate(os.listdir(path)):\n",
    "    avi_idx[avi]=idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video preprocessing\n",
    "#### video  =>  a sequence of images\n",
    "* Opencv: import cv2 as cv\n",
    "* imageio: import imageio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_image(size=64, frame=30):\n",
    "    '''\n",
    "    size:  image size\n",
    "    frame: image amounts of each video\n",
    "    '''\n",
    "    train_data = np.zeros((len(avi_idx), frame, size, size), dtype=\"float32\")\n",
    "    for i in range(len(avi_idx)):\n",
    "        \n",
    "        # reading video by imageio\n",
    "        reader = imageio.get_reader(path + os.listdir(path)[i], \"ffmpeg\")\n",
    "\n",
    "        # split video to several images by opencv\n",
    "        for t in range(frame):\n",
    "            img = cv.cvtColor(cv.resize(reader.get_data(t), (size, size)),\n",
    "                              cv.COLOR_RGB2GRAY)\n",
    "            train_data[avi_idx[os.listdir(path)[i]], t, :, :] = img[:, :]\n",
    "    return train_data\n",
    "\n",
    "\n",
    "\n",
    "def plot_image(image):\n",
    "    fig = plt.gcf()\n",
    "    fig.set_size_inches(2,2)\n",
    "    plt.imshow(image) #, cmap='binary'\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# input data (numpy array)\n",
    "size=64\n",
    "frame=30\n",
    "train_input = get_image(size=size, frame=frame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "738\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/eric/anaconda3/envs/pytorch_gpu/lib/python3.6/site-packages/matplotlib/font_manager.py:1328: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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QXj40nQe5OXPBNhHcm+/p8PUFMQbD11kL9RGpT+tCG4pIcRZysjtM89EhiJZrOGlFNaNCjhLeBZJArEFd9Z2aVftw6hHAIYJRGx4WGqriZy6rtWfJuFBYsjxz1slKLm8tiHOv+De/ILLEk19wH3NTInO1tsm58kyQy2grcs2wgpwA0WYZnI0CCtOqWmuwmQ1UFqz3aEouC7YYsvnrooEmYwP6zizv+o2/A+CDs9cBcPN9l8h1FyRs+7qq+mV5V+lgmXBJ5LDSpKibtlLCKuodfuWYvgPpYuyvNnHDe/4VgI+wNtrQiTTXqvKpu64hSMCOqB9oUdiN81cFac7aSrN5SIWz6bjgrsb2PHsjHlp+n+FDGU1lY92m/BZnQk4NScNKtePbmjhnUQClBfm4008ylKdlwrV3yIy99/RWP0mKs+qgTS3FRm43csdAEiXnnyIfMJhS9hXEtLYPaB8ycaLpuj5nPtuzmmb3NmNsuaD9ys3b22p86OorAZh8najuo+qU3XrzrM9EiU7XdUDGawJWg91MktK8UDJs9358CoDD/6+M8eZf+//9OF7N2qjP2vq0LrSxgW3GYsKMdDil9Khal8u6UlwoRQClOQ0L0Xzn0QczHwLbGVQr7FIemGVlQdEek3PdmqHT0qITbcfGIFGLeVZWnhhY0ppmgyxqMFqQmwN23iBp70fnZOW2OgUqZwhQc7HUzkShaf60xwLKhxUZR+U+8WiZqCH3dwiTabZHMF/3fTrjYHD4JEvPuEieeV6us1GAqYrPbOuHJUvG7N2pg0mhpMqEok9WK/oCEabV9ffY9i7xG3547xeBPCLjB6E+IvVpXWhjESkzvoiCDZ37Q045F0LYwauvze0qIwWGsCGQNDwjKyoLA39NQ10IvX21W04WcPn1hqCoXnZX/iaAoL08lqgzKn8/8Jo/54m3vBaAuKsr/EiV8pyG06o/rTmRr0WXLLC4R9CkfnmXgQMyjqGDrnBEDmUOJbKKIEE2Mig5aECggrfdtZXy6fay9sVHFr036NC7RBG48O+m9QXm43FukbBuMYsi7C9dJcrCV//6r3y71ObxSj8onXUiGWN2IcL7VkSP+oC19r3GmDHg48Be4DDwcmvt3GN2lhiimQJR0xAPyQdxZWKcxhA181SctOScsBnzF8vLrh3XD9LJoxc7I/LxXaBWWjTiRwOCVh6wZlWD81dacjuSIr6znLdsl8JNwlu7O1TDNPkEctbj+asyvvTCPwbgQCzBYO95x+v02QrUTsb6XKn2H5GWNDJRhfJgUQ1iUUg2XNVxKytqdgg7ytK0DM3kz+5m80e+B8CFf/6wXDukFm5j/ATy/rXyAAtPl2TTb7z3L1lJHavtNJOnt3LLWmktrC0B/pu19jLg6cCvGmMuB94F3GStvRi4Sf/u039QOisiWWtPAif1/3VjzP1Ika0XA8/RZh8Gvgq887H6ClIozhsKSxAPLj/nBecotygXGjLPO0MBS08X24srpbX940WfFDj6kKzYZKAHfTSE1gWsBYkB9axng8I+zFJI0HH2GmkeqYnnCZ99O1teKFJ8+EkJY23syeOb2+Py6nZ+yXJD679LH5sF1nYr0lTmMh/G2tok7YcOtShrCEhnQtCnpOiTDpV89bRIVfhgKTdVBAvCnrZ8I8WMigIQ7xWfW2dclJeBh2YwbU2arOQFOb72Z5LC3sxk/NUgjwxw/29kwkKPJQ0mwvzatdA5CdvGmL3A1cAtwBadZG6ybf4+17zFGHObMea2pLl0piZ9+jGgNQvbxpga8CngHdbaRWPOVLBtNfVWbCvv3GXjYUtagVdffzMAPzEgKug7bn85AAP/WPNqvEOHpGyY+Jzw7cU9cm7mChh+ONPzsooX97oAsQRiJ6hLH2FHjJIA8YT6mHot2/rrkGn4/pCZTWI4nFhUQ2Az9HltS9ukjy3fabDvahENj90sdceaGrC2cGFPFvCT5QYjD2WkNVnt5SMS6O/y0NJyREn9b6blNAdLOiGyWqA+sYUrRhn5hpgKCpPSR9AWGckWC96b72Skoy/aQoJc6zKcm1nXI5HLcnbnBkzGbZ1zE8DXNJGMMQVkEn3UWvtpPTxljNlmrT1pjNkGnDprPykU5+TjzWlK0O+855flpBRMI+xaH9+8tE0D1xagM6wW6B43iBOySxrSMfqgvKzifIzRoDejlu0ghpL6Q1sqdAftvGaj71dZ7MJTOxh1+LpSfmGHVbWKgkaXh6dEyA72SyfTF8h1E18qsXCRXLDjyzqxjeHEM+XZd39OVorR2pOFhTbox7daes9WioSzytCbwhIX9wYMf0/tZGorCqcXdEAGQrm/S1X64K++l9THuKjT2yaE9sxgUDABE73l49ZAZ2VtRqDng8D91to/6Tn1OeB1+v/XAf9wTnfu048VrQWRrgNeC9xtjLlDj70b+H3gE8aYNyJFK152to5MKgFhacVwrCnC4tCjmgj4PFmVjYUq1SlNIY6dWp9w/Nky1OEDrjKIpatZHq1xV0VW7jN3SQVjZEUVF1TVnrdEGjLb0BjpKIGCGpNduK5L2X7rU77KQ0tSuPPAwuUAxAOGzogghbMnGWvZ9vfCqoqLgiaHXq0Ba3Mp7VkZd32noMTQnXV2flHVbbUfOVU/HqoSORNXV9q0dtSoaAVdNI5714cOYHdI7LgrMuocwNnMPGafsNhwWtjklYXcVOKQqWQiplJhn1tUsI41aTW2GYNnqob6GLQWre3rnLmCLcDzzuluffqxpQ21bJtUqp6lLVjoyupyVumRm6RNfZ/1vrbOJllls5cVvEnAeeejtvXZF1Fbji1t0RrYJ1OOXqJIJLUTKDYyIg0Lyeou/81Qmlf06wloAxgOWzxJJeUjsxIbe+JZEQNTMo5TPyNIOnprzNTT5F7Pf949ADT/VKrtNrYbyrMuSE8jAkYGaOzRmkyhk/vkppWTSxCpCUOtzeWTTYzWObJVRY7Ld1I8KgK+bYhcZgZF2A7Gx6ChJX2WVmeCxCp0hxgv1zhk2qTC99EUxnqK36+F+r62Pq0LbSgiZZH4pkrzlqO3icl+67yskNnLtBp+Ak2xsTF4SGWN2cznv7uCEWGcF8I6+ZNybFwc4aSlgHDGoZWrimbzgucDWlAqibw7xhWMcFrc//nAz/PWN4v+4OKLdv1Ll+K0IMD7fuJTAPzR5ldTVATdX5VCDvfoMy3+QpPNHxDkTV0l3yzz6Oq2dZi9VJBgcfcwW782q/fUynADJZoXax6+S4pYiLF1VTPVHOEq9ZuhQVr7RbY7+vrcr5epOuoq5HUA52U6nuq2GYEgWIjhm+0deuUka6GNZW2Idbu12VA7LE8x+ROaY7ZNrKqVB8oUVX7szQlr75YvPHJAJ1zXcvR6+Tjbb1bbzmZ50+3RgAEpXuLZBuTl8QYGNaCsVfZljldWHgk6ISO6X0qq1ubGziLjx+SDve3v3wTARdOneevrhC//ye0/DcDW/yr8dOgjmynOyQfPiq5YReJDVR55hb6XgjpoWyHbvirjOf58TcScyfxiGLpXJllWK2PUOWvVdLD0bEn3GHhgmnhA7nXbs/63Pk1IWwXp01p1ZSEr0dYCU4uZmBLubIkN5qpy784ga6M+a+vTutDGIlICpbkMCFjSOCzndQ8nNY15f4f4hFpcqy4LwlA8KaunsUtjt3cHjGvGaqrxWI3d2lcXxu+RFZiU1JeWGp8J61K1C4nN60Ou2JDmL3/zvZxIJIfN+b/e+u5P8fFffC4Au649DoD9aJUPP/J0AP7wqcLuLi2Kj+7N2a/T1sIMzqhZmFzwwnl0Wn7LGlKclAG1SruyxzI2RUsNhGvsqTJ0SCMCVJ13rL9x+aacBaIGVTKm9JmXNGZ5PqtyPJbnc8jk9nb59NyTGS04Qf27rIX6iNSndaGNrdhWgdkrDMlwSjAqKmfxPlGFKyrTBYeKzF4jQuLQfbJSiksZm2/XzFb1wxHAvCZORE05tuefxQh5xZ/dzZefICWThz4hYQaz+0O23Cbw154U10GtnSORC1Ja2iL3HAm6bC1NLjv3pNJRPq5yllMWLigsUm/KNb/zd68BYOCoXNDZaRhaUV/YJCnVE8trCiSaSLvvwwcxZUHm4XtFvTftrneN2LbIUoNfOOm9/1YRzMmChUbCG96/3MkwmyWcTiXxYTIRv91Y2GAiWl4ncjwUV8zx4iinkxUZFWehjS0iUczI9rTZ+fcFeKv6hp4pv0cfEeFy+N6I3Z93Fmt50dNXGUpajNQXebg0Yex7WmlMnaqPvEiExmOHLqMzqXWA1H7zmlfcxOce/SkAqsfUxrSQYmJNCVKWVjsuk+2GG9/B658uactHni+s9uW3vBnzck1uvFg+wsyThuAeZZ+aYjXzVNUKm6EPYquq/ckWC4wckI9fPaxOWy320Lp6D9UHhC3aw6otVCue3ZlNmjZkLekm+dBBolZytzdbYPjagqywlwzI/mvzWcSMamaD6kMLTeYXSKgv9UBXtL3ZpMbUytScs1CftfVpXWhDEWm03OIll93BJ19wLeN/r7P/Kg08U6RpbrMsasjF8Hd0j7P9dcb+VtDm9BOFjWz+Rsip66Td4EPSbuC43ucrZU78pKyR5htEFb+rvoOpZ0v7XZ9XP1maC9KdEemjOiksd/ueOb41sw+A5z5XXIxf/dKT8ly7W4RFzF2ZYdQWlQxJ/9VHZYxDhzPaAiK+nExn5wiVE+rNn5Q4a6OoUn4IGBcB+PhbnwTAji/P8chL5djez4tdJGi0fdV+1N7kwlviWsizhh+Se2kI7Wxa49qybKXnKj3fuHQZdzVE40k0r7yeCFttxCXS7Nwwpo9IfVoX2vBM20/eeQ3jt4YUl2RplE8577y0qV+QUTiqGSC6ykY/M8D0VcvnfHObYeh+rWQmcie7vpz7lrZ9S5BjbloKUN1y+RBPu1wC5W+viXd8/HMVylo+JlpaXtrlxPExX8T9xGaRF0qzhqHDggCnrlVL+0ji1e1wRpBo+JAKvksZww8Kirjs2vquIsl+eb7NRTWuNtUGcnySQ68XlBh5SPo4+oJRLvxrkdht2wW7ZbSfLGgZ6bPMXSR9/dobP8tzK4/qU8gYd0WLnNAinN9sSnGIB5tbuOmgKCTpkqvfIz8TO+cZKOb5b2uhjS2P3DLU7i0R1/DV1ly0QsVVGRkJqB3TVJ8Xi0Abfn6ITXdpXLOWLG6PBIzdJ1bjmSvkIy3uE/YXta0P23Cx4cN3FvlOJC//+stlI/CvXv4kkrJcO3xYPlI0L787/yn0GmIQy0wtLaZ5v0PqfrAQuQkkHMUrBNFSmpcodpX8W5ZUbVuN3aIQFHSzwWBrjQs+KJOmu0cWwMyVFWZ/UibX0MNaP6AQ+vfWGS8ue87peJCy1vuOVZoumHwCfeiA2Lz2jc2yaURY7PAWWUzTTRnP5oEGc1rpbq3UZ219WhfaWERKoDyjwWV71CF7tfiP4pMiUE7cmXj/28hndWfqCE4+Q6uQ6KpPXjxH+G1Z+pu/JisrmZBlOX9J1ZdT3vFvstrmLikx9g1ZvV9qSFLh9TfcwcHflqA1F5axcI14jKNW5kss5yWOjS8g6uK/MSE1tRU5n5gTrAv1fANiR4V6SvWEdLi4TwY5/D1V+QsRnYskh2L2UhF8a0fhlOzlzPADGkJzaoFDb5MNCy/5oCgTdQ10W0grFBSRSooT/9rcwr+ckoL4z9jxiJwLEobUx3ekLu/e7cvy6Nwom2rnlqjRR6Q+rQsZ56vZCKps3WUvfO1vUJ3MvAe8pR77wSMaAN/MvPd6br9m1V4zT+Wzom4PP6xlgbeXOfFcWaHbb1oewHnipyybv6XGyoa0aY0FHjHqu9U0sCehMCwy0egXRD5wmbZRyzL1DLl25B6tPbk5L3rh8uFKs+KhBwnFhTx1vFjP/Bahjk5fU2PwmIbRjmlVuaq7J5x+svQ/eEi3r9if+PunrjJOFxq7rb8G4Fd+4Z8BONSa4E+33QLAQ7Egzou++V/YPCby5kJTq/zePUx8gVy8dUKMwpeOSP7GJQNTVNUJ+o7Lb/qutfYpnIX6iNSndaGNdZEMZHSfVie9Y9DLHa7O4cKFup15J2T0ATk5+qC0WZof4fR1cix4hWoav5sTxmSIAAAXZ0lEQVRS0HSk6SeI5tUd17qUiyFLL5EVuHiHIFl09Tz1ezWXf5usNhNaJkZFPT9xndueQQ2UW1Nfe3v+SldgUvoGKGsIb/VUHqjmXA4ObeOBgMUL1KXi4qIsudvklDxTY4dofaeekVI7tNykUT0a0dqa1/kGiIdTNt2qNbGvVSOoIsibNt0MSMNf/O6bAdi/fYpTS+IiaT8icmS6s0up5HL+lyN6Oyvw0NIWzoU2NoxkKaB4yyDNJzfhpPCQpKpFN9VPVZmCrqY51x4V6E2LFZbmZaiFGyVaMFyYYewfN2kf2v8huW7h+U2WZjQd2pVHunXEVRskKalVeLrEibb0sWW3CP2z8yK0hrWYtK0FUk+r83jeeFbidt4OknzbLBdP7uxfQTfzwXTdIQ1si/Osl2BIfgeP6YTaWZRQEpYXWHU7dBfVPVmZinwUqbNhfX1eaii9cegY71+QALXr98pKvPHhy9gzLsrEpmtEMzg6P0LjlEzyyVlhdzPzMtk2j26mFOXRlWuhPmvr07rQeWFtHB2gMiVzePxeWY0dXbGdYeNrMtooj7u+6COamqyxyotP3s7IfbpF5zOFZcUajjH41SqtTbJUr/wZWZV3f2k/iW5JUblbVmBnzKJRppyaVut1S3c6Sg2mLq+nfDqv4uYKtfuskNBQnV5uBTaqwJg4I2zK85WmNQx4S5WFva4mpIbGaIGJqN2zKbIWZy2fNnTUX+dS2FtbLKGOs7ZFWH1BISw0AQsK0f98UEwb1XKXF26VEs+fPiE+vFaz5MN0nJiRVmQcree0ODE5yrlQH5H6tC50LkUkQuA24Li19oXGmH3Ax4Ax4Hbgtdbax3bQdALsgRrpeMrwwypk71H3wqO6M89owe+2GDZ0D7fhQl5fsaDV0wykNREqK1pgq62yx+zVKWhFuFNN9R1cWSeZVblsKBcunfCcakH1/c8Vf9ydB3cxeERlmKNagOrw0rLdGEHqQDo3iNHsWNN02zplvppsNiLjqJxYAvIyxwBNDaYrzVkaOzW7WJz1JAN5OLLbrLmwaHyV39+/SkoxuEC0f2kWONERSf05+w4AcN3QAW5riHtovKxupdt3+LLSzn3j6hm0uwWCwrnltZ0La3s7cD/gIp7+APhTa+3HjDHvB94IvO+xOjCJFJGIhw1LW7QOkL6c+g4ZSmU2Y+paObetKxBtrMVqwc72XoHcILEUD2v96YvEcTlxp4vTDmhqsuTMAbEAd3albPu6si1NaVq4yHi7kAucu/eWC+SeJev3ox18RLf9XOr42tQOy00nwbiERA0H8Za5Vl43O3DpRUM1KsddQQcXjCYTqz0WUp7RsV2qbcbbGF0UxQHpb3O1xbaqaKWHOiJ1X1uRPUPv6uxiT0XCUwYDaX8yHmWHesW36jZTV/3SCRq6U6HT2iKN5VlK8tpIj/lBe2hNrM0YsxP4OeCv9W8DPBf4pDb5MPDza7xnn34Maa2I9GfAbwGuzto4MG+tdTriMaSK22PS1k1z/OabPkEzK9F8jpZHVv011HXczIqkWtRo20s1FNUapmIRqF1YaGxDLilLTHXZfA2A+VQQ7Eh3nJruGljW4pSlIGb8hsayPk4lQ3QU35tqpPmru6WSfnik4sszd8Z177TQENbFbG113LYUYRaWB5n5bZICA5Hb90QD0DpdbEVDazW0pD2qNrSuZeCktAt+Wp79jRd904+xoLwnxZDpO6qrKf7LjSv8exmNBEFnk3znpHhFwdEMQy3sLDvm3kEl7K6yLZ2N1lLW5oXAKWttb17Kme5yRl9Lb8W2+lx8piZ9+jGgtZa1eZEx5meBMiIj/RkwYoyJFJV2AifOdHFvxbbaJVvtBw4/i1ftvpULSuLXKWuc6lLmSquElIPlEy61ARNR3Z8HuLWxj1AjsRyqucD2J1SOMhisLhSV6bpxeVzjYQNN/eKE5nhZDWYrLhnam1Vm2KqoEkBUdv9XJG0lmGEBalchzSGTD0QDTFG3Sy0VSWrFZX10nfBvjd9NsvBJ0fnjd4YsqJOtpOiakefoOTnHbUuf2oCmHnMIUw26Hs1cX+444N/3olpDA2NXIdjZ6KyIZK39bWvtTmvtXuCVwL9aa18NfAX4RW3WL7T1H5wej0HyncDHjDG/B3wPqer2mDRabPHSnXewNVrwclCb5dsWFExKQVderDpuwSQeTUZC4f+vGLvFy1XhCq6aYrijLWm3n5q8BoBikLK9Kj6GJwxIbvtEVKesq/LP73m2tHtYVmz1pPVbQ7j4orQc5NV3/RKMCHXTGV8s3RkkkzSPR3Jmi0peTdaF+QaqJdkw117dvnT3NnYQrNjeciGusLmkiQAaKlnv5LWxS6EG/avWWwwSQm3X0rTkAOuvrWgljeNNEQrLYezPrZXOaSJZa7+KlEHGWnsIeOo53U3pYGcLw1qgYSwSAdgJj21byFOIVcgcDFt+UnUVcutZxU9GNxl6J9TWggirv7X7RkAm48o+DscTDFhlPwe18OgdeQitK4EctfJC8EX1pwWaWBk1upglVfMLbsa5sms9gO92JwoNQaJW6EUtnLEgbLhxyai36cxeKv+5/dQO6g2Z3EV1srbbBQoFNXVoYfq0qwVWozxfLUs0F9DkLNtoSTjbDf1mhGFjec4gJrd2r5X6lu0+rQttqK+tlRa4f2kbpSDhYCYhpR11LjlEKgWJh2ZHlaDrVeCSFwwrXkVd0sKPUQ8LcOygneass+i2WOqhea0c5wLVIt3zxEZSxwkkZRykzI5Dk0jRJKi3sJpSbQY0DMGp/2GwbG8Q0IwRRSpT17I5m4SltMZCb12unJY+5h4e83Wd4pI+X2gpjqrgraEukdvxyRoiRSuj7KkYpVRLgtrFUM4NFLq0Ei1grzdwobaFMPXHDqx6Y2emPiL1aV1oQxFpKS7y7RN7GK22fLyLU1sXVFgMjSXV1eCMVZ0kItWV15sBOjagrgltX45i/7fbAcmZ/WtRh8V4+WYt1ahLNdL6jBqs1N4kq3TgWJuxBxQZe2Td0PnVmipbtdqgrhFXI5tY0aFQyOUmJdPuLjdYAt0JtzlyXjHOhQhXJkMGnz217NmTNGCoLPePa4F/bwDdNCROXR1KNVEE1l+7qBtDt+ICXa0j7rZmdeV+4m5EufJDnNc2UW7wK/tvpmximmo3cqyq15Ja19gOZ/sYDNreGu2OtbMCA4G8zMWssqyPwFj/f2cjaWcFL2xX9brBsMXfHhdLthNyW5tcoF2ZsVvE1uWq8GfjQwR1tU9pgVCMyS3ayRmCwbouRkNZZpKSzUmQWbhN0tZb4z12KvU9OhZXWISljtaLSvNF1CnIvdxkKEY529b5ifqEaXYKlLR9kuWTzK7wsZW1TanWPLN1+TGoz9r6tC60scVIraGRlilEqVf7nYo/pH6fti14G0ZR7UmpDQhYbkspmMSr8b5dz7rQCFe6ikIpgUe/RzoSTjsWLfG0scMAHAglPNWFdpiUfO+00xKgbTrdfKtStxdLuQRdZY/K0kxNI+zixAviDpGyVjuPEtCIBmeyKTQtJfXbOWv6+P1tjv+U/L9W0V2djPWszKFPU1ErMJZAEcahEPSwRUWw1ASEoQuG01AXl72bREThasXksaiPSH1aF9rgzZFFLS+brkciR07OCcm8qt9Rq3dsQ+/Nd8y7kxXOKF/BchnJodR0PMig9uHOnewOe59Sul1We+ku3d69kZFpEFs4KL60bH7BW6q9DLHU9D414wRrhzhphlW08mWM0xSjEQHZkDyzyzAJOxlhU64t1uTe8xeVGPpH9Z29ZLlaD3ilJeuR37MVAk4UZkSKPk6WyiwU9JiTs5zMlFrIztHXtrEp21jvKFzpFHSCcCmIfVFMF5gFqycLsCoExIVPdLKC78M5MOeSKpnqgR31eczGAywlcm1tSCuZdfMJPvMEYW3DAxp0d8CQKZtzE8RmFqP8xR/r5hqPdV8100kQRXCVVAHpjKnCMaP72LYSQt3cr75XBPG4ZvJiq/Nq84oykoqW/NOJ4dhYO448q7JaUzvNjNfMHBXClJY+a1c1uULB2aYCup1zmxp91tandaGNZW2IBbueVXwIiCMXCrKQVvKgLTUDhFiPOo9FDqGOdMY84rlqZL2hF06YHwi73ma1fUhCUE9NSLxzFhk6WnDf6h4d3eHtDD4sbC6cFGRKp2ew6QrBtCcN3hS01pNavbMr9rG0Q5DFlTTW5BZKjQ62rPfSnZ+6w3maOLoZX5YaWupH66jvrKGAHQSWYkkzVxRhCmHmWZoTyrtJ5FlkxVm9tU0UZFg10j/M2qiPSH1aF9pY9R9D20ZkWeC9/6va2MAL1qHfPyPyiJXl8RvenzanCW2zmp0R29AbLp2FO7ahDwJrqW8utgGNWEN+HQrulb6rk9AZkz7G7tMi8TtDkrLkPgzrlhBRGOZefmfRNh4eSHZJJm99V8Wfc7s0RS1BjKieb81ua9LOmrxSrtu23m30TGh9QoC3XqvgbIz1x5whsxCmHn2cWh8G1vvdHH46E4Hl+++r9v2oj0h9WhfacBkJcrdIL7lYolIQe9RpWllRnazgg9yd1ge55ue0sFok2k85iL085DS1Zlpc1T4wGVX1zw0XBQXrVwlCnaqNY7py7dBDIj9Vp0pMXqtZuqMiK5XmBvx4VsSfkUXG5+i5ZV870iLQirSuMq3bLLm5fxMNNUQ6+SwtW2zRaX7qAoqyvG5luPymJsgRyblU0jTwx5yxshilXlbsqNbmZKpzrWgLG747kqVgUkbCprcjOTuP+8iOJUE+aUIsC1qCrbed86M5+5CboL2s7aSW9QiMpaY+tk0FsaovJBUfHTis1SFawzKuyiUxJ2YlvOPY9dJHPGgxzo+rKnl3KPBVQtxkcW3SivV7kLhJNnNVddV7iYdc0Xgr+6P29EVmctO3ToYsCXwCY6//zd3Hv8EzRDlGLvYuzPwEcpNrpbP3XKjP2vq0LrShiBSRMRY2CHv8QUVFjnIh99I7H5ozrBGuZoeZDbyw3SuAA2DSVRkSBZN6dtdLXWVzDvEGNI5jS7XuA+FOP1MNhlnAUlPjqzOX+YFnM1ZVctt12bg2397dhbjGAWg7imrRdmV2jCVzIbPKsmwaEGmIrQurNcauCl4LVBDPstyr76wQUZSzv0hV/NBYb+1e6Vez1vQLtvfp/NB5EbZ7ZRhHvXltzmNfRLdWMLHPf/Me/p7rM5/fpjtKRgu5C0bll6Gg5TNxXQZqLez4diXdHblQFBfFQNbx6DRcEvlpsVtmobQ8OK5XnnBuHGf067QLHjFCRYUsMzmauet09RugoK4Pd12ShAQOOVxfoc2jeZ0Hv8eTn64QtqMw8wjTe+fUj8OFO+tfgSVJzw1jNnQidWzEI53Ny/xs3t7jYqyzgteq/Mc1qde+Vl7XS84W1Nu/qxV0ygzRVPvRVEdsQZUwJlL25e65EOcJhJ10+eupRl1/j15ayTKryqbngorXjJxPLM2MnziO2urzKhTytCHHdtpx5OOyjZY9LhQS/zbcB3fhIUQphTBnXyDaWKu73ElujPWTNfX9538nfdbWp/NBG1uxDUMniygEueC7EpFKUex9Zo5SG6xCoADrr3GUF46IfTSBMw3MJgNUlVVtKrkqZ6nv1/nyxgrC2ubjqkerirLVKEgZL4lFPlFkSq3xArtbxaFGFGQVQzd1bKOnJtMKIbdcjPUd2Fzr1/a1HkHYIVcQ5L6zRPt3oSBhkPmQWcfOhkttr9r3kmPLvWG6wBnbno36iNSndaE1IZIxZgSpjXQlovD+MvAg8HFgL3AYeLm1dm4t/cVZ6GUHL/u4cNMe5HHyiEOxleRy1pxPbrSQJwikK2SqzBpvHXfUSgs0KK1qByI/lbSPSMc03amtyrnLbOCNmktqifeZK8UOcbY8Diggl01cBksvJSvitJIsoKz9Twc1P8aBglzr3l8rzlHc3d/JSInNs0561XonlK/Ma7PW5DLXGmmtrO29wI3W2l80xhSBKvBu4CZr7e8bY94FvAupB/B9KbEB80mVyKQ9CZFaP1sfuhZ2/GSKeyaDs4RnKx4ecsesC2LrZAU/CXvrKa0S0AMIXGk+lxwY5CzXaYGuglkpTPzLbyZ5WItjc+6Du98zOZh7jzlloleRSO1KpSLzisBQKQ/0Gym2lt173qiz1xrfn3t2aw0VVQBc+0a3tGoCOfaYZMGyKMy10FrqIw0Bz0KLRFhru9baeeDFSKU26Fds+w9Pa0GkC4DTwIeMMU9ENoJ/O7DFWnsSwFp70hiz+WwdhVgGNFtkpf3G+boCk3nkKFu1HYVmlQBeCmJvvZ7Tbap71XCHPQ6ZepGuEOTsKfNC83LTQWiyHNXUBlQKYuZjzSxxbKOHVbgSxY79tdKCNyG4bA/HBnvJ5+ORW8J7g/Da2kdvuOxsZ7nPzoWEtJICnUQzZ5wwHaaMuypuel1mcxV/pXBtWO0MPhutRdiOgGuA91lrrwaWEDa2Juqt2Nac75z9gj79SNJaEOkYcMxae4v+/UlkIk0ZY7YpGm0DTp3p4t6KbVsvH7MgKFSwsoJW1jHMbEBTZQLH41MbePTxqGKSVTV8hqM8WG5at1TszdAt9fjdQIR0l/G7kmIbelnD3afX0DnQIyg7lKmsSGwIel5v2DPWlYkMDjliG3oZxlFkMi+POXRLsmDVFg+Zvs9OEhEr0vS+H1csoxlrUF8W5Bm2PhPF+HPr7muz1k4CR40x+/XQ84D7gM8hldqgX7HtPzytVWv7NeCjqrEdAt6ATMJPGGPeCBwBXna2TjIMrbRIZo3XiFa6QwJjc62tJxCt46u3afpNTwCca9dIXQ3EbFWyQDXo+mNO/uhk0apxOFPCmXLjOlmUr3KfR5b7thY1giDwmmLgjZrunq204FHHHetmeaKCO+dK9HSz0JsQnHYKq4PPev8uOPW/p5CGQyLnPilFiUfrlcjejIuYc9zUZk0TyVp7B3Cmzd+edy43S61hMSlRCQMP9e4lDWh0Y0hGx6welhMg3YRrZ4VlRSN6Kc7y6zP/kcur2nV62q1kXwG2x9SgPi6TkbmwjZ4IzDhbab3O2ztyJffaabQq7KWownk3C/N7mh7zhvZT6bFAe0FZ7+3eT2Bsj69N/XVJrqj4yiPWrGKxzgzQXOGXWwv1Ldt9Whfa0K1IjTGnEa1vesNu+oPTJn40xgn/vmPdY62dOFujDZ1IAMaY29ayR+r5ph+VccIPx1j7rK1P60L9idSndaHzMZE+cB7u+YPQj8o44YdgrBsuI/Xpx5P6rK1P60IbNpGMMS8wxjxojDmo8Us/NGSM2WWM+Yox5n5jzL3GmLfr8d81xhw3xtyh/372h2Csh40xd+t4btNjY8aYLxljDujvue1svB7j2gjWpvvhPgRcjziBbwVeZa2979/95msgdTpvs9bebowZREJlfh54OdCw1v7ReR1gDxljDgNPsdZO9xz7Q2C2J8hw1Fr7mEGG600bhUhPBQ5aaw/pBsofQwLjfijIWnvSWnu7/r+O7N171h0xf4jovAcZbtRE2gEc7fl7TVuXng8yxuwFrgZc2MzbjDF3GWP+5nywjDOQBf7FGPNdY8xb9NiyIEPgrEGG600bNZHWvHXp+SRjTA34FPAOa+0issn0hcCTgJPAH5/H4Tm6zlp7DfAzwK8aY551vgcEGzeRjgG7ev7+vluXni8yxhSQSfRRa+2nAay1U9ba1Ep52L/iB9yfbj3JWntCf08Bn0HGNKVynpP3zhhk+O9JGzWRbgUuNsbs05imVyKBcT8UpNvPfxC431r7Jz3Ht/U0ewlwz0aPrZeMMQOqDGCMGQCer2M670GGG5Jpa61NjDFvA76IVCz4G2vtvRtx7zXSdcBrgbuNMXfosXcDrzLGPAlhw4eB/3x+hudpC/AZ3b4iAv7OWnujMeZWzjHIcL2pb9nu07pQ37Ldp3Wh/kTq07pQfyL1aV2oP5H6tC7Un0h9WhfqT6Q+rQv1J1Kf1oX6E6lP60L/FwvNedM0j13NAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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bq1E5LuNWj8nkspEac2eL9PjYu/8EgD84LKDt7Z+62NtcZQU8x++c9VKqNybXquw9kSe5KVwQbxQJ1vpvHb67sENn9A2WQwOJNKAVoVWVSHEWcqQ3QuvRYYhyFxkg9YvSek/HgXgmg17dRfqF90f2pt67S0vy2lapk1oDyWJ7JQwy4sR5azpuarz7Hmmue7GRF5RVI00M63Pxk5qGXI6qDdbNk9HC3pL7rRqKX5VQR/Kj6k4nmQ9voLZJoNW9QavnvUZXZJmVItZ9QyRtMqaZbanl3b/5UQD+YVrShr++53z57KyETd+QibgChWSoRNiUa5X02rZS8gWdj/7EenfLAIx/cA3jv/cAZ0Krykgz7SrX33U5QQp2VN3RhjzE4qxzvyEb1hQK/WGyyGC1uKSwoDjOaOANWceEIwUZs7FQIZyLFo07O11ndDyvxAUwiSFytWs67tw5qgLWpHQULqgeUga0KXHdlTzroSDHm6KOYkBqsM9eaEnHlFkmNae6kNDZUNW5afrJcTGACYK87Lum6S8LXWxJ1Jgz6rub6vz9MwU7OPoLAqPUBGJi6+em/eKJjruVaHIGLSskEGc0z5X8m+2flFSUPb8pKPk9b/+gf0Z/yPJooNoGtCK0uoltxmLCjHQ4pbRf0WiVJi6Sj4XSjAKSmhYy+kCeyOUSz6J2boC7FI3shfq9VsEb2S4jwMYB1i519a3/x6ml7iaVIM2QfbOyQp2xaywkpTz32pErl85UnXYm5HXoYUNHY1a9UXUSxsoUFlxKq0bnVfoEU3OLktEAgn1HWHiu4AWlWXXTQ4PRKP6GD++Wi2/frM8ixUZa8VsVMZ5WCgQdvWbHFdMZ6u88CMB1530KgGpwZvG1fhpIpAGtCK2uRMqMJMinJs8l6k9BRVznkrqvzU3Gf+bSQauTsrKy0HhjcUFDCPPzCtx1g7wxg6vKKKUY90+QSxgnTWIFOiv7ZKzdv/Z+zrvplwBY18s7f7iKDxeyaZydMXSuxLQa3xEJ5uJrzcvalO8VyTH8sCa/uaoPwKiUsBVtNLFmBKMxs0Dr9rOtGygf6+p3RSIV9x73iQt7f1sqY8756Am9t8BXjLgqkTDLCLQgoH2eAJn/78PX+nmk9omzwWlHMMZsBT4MbED8nQ9aa//CGDMOfBzYAewDrrbWzjzuYJkhaESEbUM8JDfr8KO8bCd/n5VyI3bubJlq/ZAWMLbzXkhJRQ3klhqSAXmQ6/HuLckxH0c7XrIPgPviLsxpPrfDhzoZgapWh4BnRcsNl0ljizsvknjXH/7mGwFoTpWpH471vhQDKoekWvnhSqZdswdbCMlGxBB3vYqCVpegqypNje6jr9zKuv91JwDnvl+wLjus1rYxPqHNl26X6zQv2gDAV/72Qyc9h65V5lbu/F5U3HJUWwL8e2vthcCzgbcZY54GvBu4yVp7HnCT/j+gf6V0WolkrT0CHNH3DWPMHqTJ1quBF+lp/wh8BfjtxxsriKF8PCBqwoJKEevwpJ6rGMnTMBzqHdcMyfMkt3VS+w1t+kSRpKSY0iOyYucu1NvJ+oxhp5V6AYkmtBktigzbxgsup2pdZ7hX/593YSdkkELLYTqGoUfFeo/0vPE9GS9o/0cAEoU0tqcOWc58aXd7Qq45/EiHsqbCdtep9OnIdZKxCpmWsxQUBnDpH4CvV1t3c0owJsh6vF1SbF22QO2BaYyL9Jfzhhw3fehvAGhpU41+qePeL2QiGQ8mC6wN8+8uh87I2DbG7AAuA24B1iuTOWZb9xjfeasx5jZjzG1J68xyXAb01KFlW1nGmDpwPfBOa+28Mae3QWBxx7bSlq22N2xJqvD6F38dgG1FMRL/8sEXAlC4btzXbzm0OSkbhq+TOFBju3w2dRGM7BUboL1GmzYkrlLDenfeGb7hTIHesN5u4jql5ci2q+go/pkYzBMb4PgVDpPIdB75uvv8+/4CgJ953a+w7lK5h5mvix3S1IS1+XOgdkjOn32OSJaRv8pI6iIBygdEyma1ko4fUjkg4KRpOy/Ekq4d0fnKZOcuGmXsZonTFY7KGEFXHA1bijCKmDvJdOQF60gUnncVzq2s5yWRq3J2n9VMxh3dM3Pol8VIxpgCwkQfsdZ+Ug9PGmM2WmuPGGM2AsdON06QQmnWYFKYiUWsf+59LwCgu06T1HqZR7Q7WgZUmoPuiOJHKtSMhe6oelB6LKto8lg79Mizy6IszhsfInFlQ0Ev9xp96oeqpROvaFO+V+boPLr2eMDwg/LjXPK5XwdgZ9z2HU2qV4qvcUJ7La39UonGdvnuhs+pKjFtDj9fxt3+GVGTpqflQHO9PAGtqFhQpUgwIy6iacr58zvWM3qHNmdVpDqcUnTcGB+MdeXZH3rnX5C6mn9dWV2bUPDg3WIqmYiRoHvKzx6LTst2RkTPtcAea+2f9X30GeCN+v6NwKfP6MoD+qGi5Uik5wJvAHYbY3bpsfcAfwR8whjzFmA/8LrTDWRSKM5Z4prhYEvTMA6IGF54uayARjxEdVJjbWowV48nHHqhVoM86FzxvB6sK5KfcEhxloMFj0YXF2QFlqcCXEzVufxRK4+xOTypvVZW+H94xo3ccrbU2u39r9JRt7nFEHxJDNL1XxNVazoJG6+TlV/Q5hGNn1PpOpN6teuk5+gdC2z9gmJhih85Vz+pFjCxdo5TF769uUblgJaa1+Wzbf/wENkmMbLDGS2tdq7+zCycJX0xnZS6uJCn2zjJVDIRR1KRcBvDyqLPYlImwjPrv74cr+0bnLqDLcBVZ3S1Af3Q0qoi2yYVm8VkMNeTVTC/XVZl/QuKTp9t0T7sdNbIKjtxYcE3VXDd08JuhlF3PlTkeV4T1krTUGgq2NeR1/phy4w2jCh2jB/LgY2Zwg8ulra1eIJWXYzgQ1MimWxUJdO42PRPymoevzXm6LPkui+/6m4AWn8u3XYXNhmfZObmn45WWdguNpL1KLmTmh3fUF2zXikfbWEUHnCxs96FWygelIdkF7SqdkgrTNaMw4J4KbbpkotzitXoDjGU1WGaVMk0rsb3wQTWntp8ekwaxNoGtCK0qhIpi6C9NiBqWfbfJtHqdSphZs/RsqEY2opIDe1z5UaZ75TmateC2PhtHCZVIpgTsqLCjs0bnyuZTOJtAAUNpUQd6yWFO99Jh9997y/yK29b7D9s/UIPo1srvO/K6wD40/U/R0lznnZWpZHD3bNyTuNnWqy9VqSPC6mYzHrANZxXd17TZpsbaqz9jkga10Qiq5VonSeQhCsuKM7F0FBX1eUZaad+MzRE62mSqHbwjXlcL1MIw3XI6wId/e7hRCtstQdP2cA3Oxv0m0dYDq2uakPUW2/UoM+cKSlkIN4iRmzlvrJ35wNVWVlo6OwQU3n0IUWlexkHXiLyd9uNIvqnLhVGKrQzj1infdhPtS5WdtTScudOHq9zeFNxVq6TXBAxqvuU5MHhosd+fuM6qbs+d2qKX/0FaXrx3jteAsD6Xxdcaeh/raM0LWO47iGmk/jsx31X67W1ANO2Q9Z9S+750Muklq58wvp5jtwjTJbWSxiXbqKMvfBCaX9Y33PCN4O47QX/U+8u9AzkSuVnsyIdKwzcURDtswvS3e7yyj7OlAaqbUArQqsrkRKJP3UIaG9wTYLkJZwUKdHe2aV3VMutR2W1TdwaUjwiq6axVVbz3DkB43dp6umYuthjLtU1YPQhdZl1qRQXsrwPpxaRBj27uG8RkBVlNf/+W/83oYopt3vQr/3O9Xz86hcDsPUKgaztR6v8w17Jm/7jK68H4IKiNJ34pew3aa8vLxp/6OicN85DTeArzDs0FJ/HXT+cS0vnTDgXf2F7lZG9LkVCXXZV/QtPm/ApuQUUmCTjqAK0XU0ZaWRljiZaravZhbF+9tHp5/idp5ZLA4k0oBWh1e3YVoHpiwzJcIoZFluk9IAYes5mCh4uMv0jstqGd2thQDNj7R150j+IpDnxTHWbJ9VW+qJuyvInu7hh70UAjH5SwMKpSyJaumHNcK8fQlhslXfHRPI9rXiUWt/+bwCXl/fzsVCu5ZyFcwrzLLTlO//pn14PQP2ASsothqH9i5+BSVKqR/IKYoBY8/G2fvRh0Ii9s4fo9nxoxHbElhq+4QhGo/9WJZgrPIgWUq75n59fdM3ZLOF4JvDA0UTQ29GgxVAg4xa0+8WGSOy/tdG8P2+5tLpNJIoZ2bYOm68rYv6deBmVTdKF7IEHZX+QkXsjtn5amKU9rnGviw2lmbyoEWD+gpjx27VSpCEH9/2EMN6hvRfRPSreklMLP3/NTVz7pR8D+ppvZtYzkgv4Vo7Kr/vKL7yDN/2INEzd/zIZ9zVfeRvF12hzh/O0W/65QwS3y9ySms73Sre9VUiqqS4OrbfFAmMPyo9f3adBW2022rxsG7X7JGRp90k+talWsbFi8mvEewsyS7JGkPUocXvF5c95lxrNr9e+0dNZxPFE4oGh5tUUTUpLS3OGA7nnfT0x8OfSGlNxXu69HBqotgGtCK2qRBort/npC3dx3U89k6F/kQ5iB3doxF6bOTQ3WeYvl2Mjt2p6yPkNxv9R1NLxS0WNrP1mxPEXyUoduluTujRlY+zLZQ4/T6Xam8QVv6uxOe++39cZzaW9xhPyWpkU9bFp2wm+deIsAHZcIdLh0Vu2UNQge/YdEf3HL8uxKNd0orJf5ji8L6OjrRhdk4fulhEqhxXfmNSWxRrxrz4ATEit2cFfFVxky5dmeeRn5FrbPytZAOFCF6OtjW3qWhvLkEk95NlDsluUS6GdTutcXpKt9Jyy/krrXF+WHWsnu4a2fm4lRd/Ufrk0kEgDWhFa9Urb6+68nIlvFnwszIFnJS2CaJyTUTiou/qo/TL2qRpTlyzm+dYGw/CdGnsSu5MtX2r5zzd8W6tdp0Tv33LRMBc+91EAHixuB2DNrpChfZo62+grVAMOHxr3myIXR7Rj27Rh+FFZ+lOXql00kfjzXAsdl3BXaGeM3i9SpLVZbLbG1iLxTpn3utu08KGliWiHJnn4TWLEjz4gYxx4xSjnXCtbBztjm8zSfeYOmXddtlCdPVfGesubbuAVNbnPQHee2hrNczyTa36zJZ2C9zQ38vX9Ui/XntPiwljOH9s0x3D5zPKRVrc9cttQv7dEXMd3W3Oy1tXcF+YChvbL+9arRI8EnxtmzV2aalGRm+2MBozfK4wzfZH8SPNniQcYdTIWtqjKUptxZFeR+wJRpy99kWTDfKX3DJKyfHd4X0+vL4bn5hvKPlOzsKCdTdoJ89vkkfVGdOKpoTAjnw9LQYd3CKJWlpccBXlhZ6rp0M1t6hCox2W2D3HO3wnT9LbJApi+uMz0czfr+IqSR4EPjXQnRI32RlW92pCCJms4NLtq4P8qA31035UAjFda1Mpyz+tHJBVlviMT2zjU4ERb+wwskwaqbUArQqsrkVKJHQE+BbXyDGk4nh0RI3PN7pTJK4W/Rz+tm/JFcORHZaqj2iQjfdUM0bdlrHVfE/WRrBXxM3N+hUSl9fpbRJI1tkWMfVNU5hcXpAHDS1+2iwff8zQASgcEt5m9XCLGUSejqw1HXd0cx6Gt+dhu42QWQuqKFTnE3BnWhdmu30nAUbGRUjssUmr+LMW1dimIVojonCPXn75AHYgDcOxKGWPkflGrxck5Hnm7SNfzr5Xn1xmVmrqZuEZBVVpVc7C/1B7ikwclteVZ62SypSBmsizP93hbU1D0lg7PD7OuvrjhxuloIJEGtCJk7NK9L7+PVNmw1Z79C++idjTzNkNLk/6H9+tGeq2MWLdMmNmp1SSXzTL0cVk9tUNiBLY2ljj8MlnZm76wWLAeflnC+HfEdqhOaaXJREDUVmm4VcZtbU8oqCE99nmxCZz9EvTgxDPU2L9bo//b8yburkqlNG28lHUItUvlLTUyavtzBwDg+OV1hg6KZOnoPmlaB0HUhqnLZayhR2SO8+cnjN4j9+eyPcIeLGzTxD1tIP/2n5GthR9sr+O9G28B4IFYRORPffPXuHSLYCMPT+seLfeMku7QtOEJAUa3D4lUPrs2xZCK1/dc/PnvWmuv4DQ0kEgDWhFa3RBJLSN+VoP5O4cIXa2/YnMz56n06QSM75EPx+6bTKw0AAAXe0lEQVSXzxrtUY68UKTPmq3yhfE/SAm0I9mUgpS9ce1LOV0geaWEYI7fKbZX7fIpZu7SbUk36A5EoWXtmHgsh39UQx/HtTn62tRX/85ILyuyekI4o5vynJDPqseyvEG7dU0vtBdBLSA7WwsDFO4wNu8wVz2mjcE2y89w/DkptUfUK1RIo3ogoqWZEq72LhlJmVDo4MQVcs8lrZT4pTVfxzWwf+13pU/4Fdv386BKouZDAm6m6xJK2pjMJeTXtENdOYh5qHXKetfHpNVNI2kGFL4zRPvyFnZSDM3inOIxFS1zns53sHbl0b16ldYmOa/2Ad3LdX6OtTcKbOxUQ7BXvjfzkjbzJ+QHjLQRRffmNUSux5JmSjJV4nBHHrBvZDor2YWmmmD18QS683Z1b9Fv5Ff0+91a7+6X5vIYHkietmeq4bxZRntCxusOy+vQQWGC5pZi3gLR7XdbzHfodjsymWORzyJ1XPCNWdn+6y3DB/nrOcHJXrpDVuKND1/I1glZWBuvEIxp/+wojeNiZB+a0ajBnPy/ZmQ95SjPrlwODVTbgFaEnhTVZg/WvCRau0s43xnYvaG8jNrqlgbFpmXn32ouc0uMwKnnbWLsXgEsjzxvccrD8NcqtLRK99KrZFXu/tJOYo3OV+4Wq7U7bslUAhw+JrqkpMZrkgR+k+Pycc231ro8yLMKbGgoTS3pQuraMMWZR61LU9rNbX2FuR3aE1KT6lztW9jJE/GSqs71uKGr8bpA7fb2euuN7Pp6cdNL+tBCE5DpIDc8KNBGrdLjNRsFhP3kYYEBWs0yQ/e5tj16Ta3aXXhezOETJ++8/Xg0kEgDWhE6kyYSIXAbcMha+5PGmLOAjwHjwO3AG6y1vccbg25A9lCdbDxl4ptai7ZdgcaH1U7YUKB6TF3bBd16sxFh5hQg05r4ILG0N4od5HZCnLlAQwN1ix2X7x5raYzkogbptIif5lBe7+niY5k2TTjvxRLn2L1nG2Xd4mFIK13r+9s+ZdY/l9Tm/Rm1ht9JTbLMp8JmY2J/lA+3gKp+V05rrpdnUJqxNCV0Rk2C9cS1vD9B2HZhJOMN7z+6RFoxHIpFgnylHXB/SypAnr9D7uWlY/fw7QWJq40Uxcir3VbxwKmHPFyr6izw29gvl85Etb0D2ANoi1D+GHivtfZjxpi/Bt4C/NXjDWASaTSaDBuaG1ynfy1H0pKc8rT1yPamnvYP6mZY3cO+da6W5oRQ3y2lMseukqe/5k5NrQgNC5vk6UztkYS57paUjTdrO2UtDZo7N2+GWpyVa+75tqSOhKGl0HSYjm772eoL7CpDmV6Cabi2KYsNVNvJdxgKtB2fHa5R0a26XHmRDeQ+O+MhpRMyj7mdam1PdDBaPl2syXjrqm02VkWt7+2Kc/Di2n0A3NrZzvaKOA4j2on1QDzORrXU1xXES336mw6xoByUqbfpdiF3e/8C/CXLo2WpNmPMFuAngL/V/w3wYuA6PeUfgdcs85oD+iGk5UqkPwd+C3D5lxPArLWu+SAHkS5uj0sb107zn37pn+jYAtMvElGfuvbEaqG2siKpGosjr5aVvre9ls2l2UVjTSc1Lv3PEikvG5EUs6ms7IO9ccqKq1S1R04piJl4uSaGqb9+LBmmqzqipV0k/uaO5wNQ3Ffy7Wy6E2UdwxDOaf50qBsWFiNfNOmSzLBua4EAIj1PpZXp9MjKcq3uOjH6HcId9qB+RNX6VeJcvPmcb5/0jFIMBdWLbt6fnpc91zIMdUWlF/LtFIg1F9c9W4AxbUDlPnNjlYLEj79cWk5bm58Ejllrv9t/+BSnnjLW0t+xrTF9ZtjEgJ46tNy2Nq8yxrwSKCM20p8Do8aYSKXSFuDwqb7c37Gtfv4G+/5Hfoy3n/Vlzi5JkruTJk1NvIpt6KWJowtKR/znbnUe651DqKidOzakNsHFlYO+QqKfMl03rsJ0IlxAS79oZOVF54ZtQ2eNSkk1hjEQlVXCqI0UthPMqApqTZl1uw3R6UsOK8lqt+UiqXZss4qQ9vqMf9d0IrpebMH0twytdHE/xwxDQJ5/BLmU7WQFL01cvVo16PnzGyp1QjLCUKtw9HnPa8pEYKyXTsul00oka+3vWGu3WGt3ANcA/89a+/PAl4HX6mmDRlv/yumJAJK/DXzMGPMHwB1IV7fHpYlik9dvu4Vq0PVVnR0Ki84pmNTXWRX6tiVyK25UJc2/Hb/F2wzhEq2aYtjdFU/uE0ckcF0MUjZVxXO5tCa21dqoQVltqN+7+6cAKD2kq3jSkmjraudqp6UgV+B+CUaE2pTC1+MXXYlTmjd5KMj9OvsIoDitxQt9/TibGxUE1SL9exY2U1C/PFXvqp0WGC+29N7lvHlNDQhMxqyp+vPkmPWeWVd9/sQGRPpMKxr4PNQSYLccxgRLu3Cchs6Ikay1X0HaIGOt3Qs864y+jyEl4HA85o+NR2IAOzS2YwsnNTcYCtue8XoqyhtZxRuOjhn6GWptJO7xb227EZAiQDeu+96+eC01K+on3iOoxrrd2uzcWq/SXCpsUjYUtIYu1CqOcL6HaaqbX3DAjKtDD/x7X4gZGt9pJJqX70VqwC+cP+qbX0xfIPf54Nxa5trC3G7ngma7RKGgm/XpRs9xV+OCfZ3WMrfNamawmcIVqs5sL8R03ZasDrnXV5tjXMulAbI9oBWhVY21tdIiuxrbKASpr6Xq6quTSKUgoRQu9u4qQc+76SVvGFa8uG5qtpkT1SAiHqDTB64Vg5OX2XTXgZ6uQ6668oGhNKtIsm5XEXYtQep6G6kUnGtCSyGBuiLWTvoEgd/tyM+r1fMq0GhntXSNSMP2eOj9YdcDc//96/0xW3TwAlhNyEtUEkUltw2EIYwyvbwm/5diihrNd1H9WqFHO9E9UPQ59qszd+zhk57YqWkgkQa0IrSqEqkZF/n24e2sqTc9HO8MyTndkiE01huVzgTtJhGp6vg0y3l/vKaNsPT8ciTSKrWBd3cLoSbMB4mXTlnfhjdlNTQz7fzqtnqoH+gwfp/aS33bsYcurqa7GNHu5GCjuv+uNQ3FgjeyHZlOLy8IUCO7u0Z3lzT5rpmuG2/lcMjwCyYX3WcvCX3dmdsWo1+apP48rVTuM7YbXa2mjQv0knwr+37qdgveBlsurSojrS0v8O92fp2yiWkpLuRUVf+P6zAdh4cMBR3vtbljnaxATaOZ81ll0RiBscyl2jQ9avjzncFe1e/FNuT6I5cDeROG9hr5YbKowsQtgnW5LvzZxDBmQZusuw30gtygJjn54Zuu62OkRm6SkE0LSh9ukjhZR5mXAJ9X7rRwcR6aXe3Qn+aLKC4uxtrivgXmGM5p2G6vSLUk83VN69Mgf95usRXUEB+vtj2DLpcGqm1AK0Kr24zUGhbSMoUo9e55qrzs8JCOLXgxXVQ8SVTV4l5FBZN4KMCf17cuxkOJ2DtEfCEtM6YJ4o901+oYKVeOS+rpo4HgTs7tDVKb7512XGrHTK+H34PFvZZL0NUekG4PEDW6iRNsWxF2jcdl7Q42ce2O3T6s8hK1LKU57Qm5QX6a8T1dDr9I1W2lq5e2i9S+PFsdyhoih1gXcqfFmQadnmJLQebPK0YKJajES7MiUbjCsbYBDWg5tMqbI4tbXgu6Hhx0kqZpxaYJybyr31XUO7aht2scxTY6pX0Fi5FcByu0siJpvHjdzCRVeor0xutkrPJdefOuTFN9Q92d0c7MkS2pAzTNFplKJFNU1NrlJaUptie2ia8fTFOMbl6cDqkt2Mqby7udJot1kbaz5xapflHG7fy4Gv/G5lJb3Xl3v9YaD1y6p1KMUm83jQ+JVI7TkFAdnkSNbXdOaiF7jA1vHotWlZFCMoa0O5hDrR05Q7gUxHT0vTs3fYwdLJamgIxoO+NWVsxTIzTgOZdUfEqJS+g62hn2RmVtVFRQECvThDB1qaio0bpcp/KAwR6XtilOjWVpilHD1XULsfQxvXV9jJQJogJcKg0deuPCSGXN+Q46McGcYks7JMsxHjJ+p/CFWQ2DRBmpNh8tq9HtDOV2r+AZxKkswHtoLkodhRktNeKXBkOyLKDXOzNGGqi2Aa0IrW4VCYbYRkwndR+YdeSkzlxa8erIwQAhlrnssduspF59iaQ50hvxwUk3VoZhRIvSMt2zZKTQYUb3RNk2JolkRxVlTot59YbVPTp6wxupPywpI8FBgQbSE9MeR+IUmyE6dRdWZf7JRWfR2iz31dPKmZqqvfJC16ebuNSS3ogldTVsXY0CpIa2poh0QkX1i9r5LrBEKon6JVJFJVcn1lbScf7TO6PcSbLQWKw+7gGyPaBVpdV1/zF0bERmA0bCU2dLZjbwqaKh3z8j8hIr60sVdfG06USqSWYSWUbNtEQx0FQUTZyLbciC9kjM/FjGo92tWFZ2Q4pUqRyH3qimrjwoxxpbQpKySKQR7T0ZAqam3R26fSAlgDHEW6WSt7E1R6+dcV1t6xy1W5xpdcl0TzYfXwtkS3gZ12UQWB/F98/Ng5WZBy4dkFkIU4xZLDNKhcTH3VKbPw8Qm+nUVulj00AiDWhFaHXdf6XSklRayHOJ+j9zNk8nK/iQh/O8IE8zdfaQC5+MF/LdvF1opZUWaaq35jIPAKraOMG9ti4RCTX1yLjPCBh5SDyp+sGIySvFNumOaJ3aWef48IpZLCTIInPS7kv1/W0CzWUysczXbZbc3LnGl2l1pN8FacX6RDkUVAyiviwHzT/yLr+xZJmTJ9pXIQn950GQxyCdTeRASucBpmcYHoFV3x3JUjApo2HLu/8OjXZMUTBpX0pJzlRObfWft7RSxP3fyQr+/aGulGJ3s4JnMMdcM3GVWtT14/VTbWePIzNieB95rqiz7qhFNabPmuyNBL7A0DGL8yPSiiXTvGzHZCcuOdlpiIcUIihYcM0bnE+emXxgp4KSwDOTZxqHAaVBnsQWOObKrxVGzijPFhncwEn/nwkNVNuAVoRWVSJFZIyHC4TG+qSroovwaylxMyt5aRW6lRierA4zG3hju98ABwjCrK+eLfGvTuo4iRQYSyPOKycg7xGUlFq0FYhsP1/HQJovQF8aq8VXwlqFFWxP5xNYb7UalSA2DiBxWzbpPJzrbiBT9N2nxKaBT1pLNK3WGOvd/aUqK8uMR6j9blB96bcF5+ob67/rYAL3v7XmjNXbQCINaEXoSTG2YxueZJOc0JINcfW1nQ2aHmpiX//mI/x93898fZv2DIjmvC21oyx18LWg6ytx3YYt1aDnbRgnkVzsLShaiiNqDOvqPNGpUSst7pNh++J8zn12oYdup+BXedhn09hssXOd6fjGWAqV2L8HMZQDlU6RGyu0Xto4SeReoyj14+USKcuvoddMrfEd5vLwiVAUZiTpmcmYVWWkro14pLuO2Ia5enElRfp/agMfCyt5LCj12I+jU5UUO4Q77gs4zqmRHpqMGW3tNquvgbE+Q9NlCboc8k5aOCkYPFTs+szO/sQvlwvu5lgtCDPMBBXPoAVVH2lm/I/qxu+pkVsoJF6duxSPThzlwVT9cfvPc0zgjO4wyBPV/LOKUo9oO+q/M7vkPtPMDBLbBvTk0KrH2rpZRCFIKRln9C0GX0pBfNKx1AYnSaAAe9J5DhEvmzhPq9V2ZHNJ1RcCRoGrpctXYtfI+RVXwm0s3dQdc+h4wOiSSuZ+yZU4aaZjDZUDekvyocPA4hpElkJX5aHR/1NUcdT7pEt/Ulqxz42HPBUkDDLfZNRJmqFSlyRdDDsYY/3npcLiKEN8hmoNBhJpQCtEy5JIxphRpDfSxQhU9ovA/cDHgR3APuBqa+2ydtSNs5BUYz9O0jj7ol/yOJvHSbGl5OJkLiY3VsgLBJbmMGXWeNvJrfzYhifZQYmeUwt7i+rkADpJnga89Hv991BUKVIr9HCtivvtFmdTlU7RObYZLxZ5pTDxlS5TQd1fu6J2WBKpXdgn+ZbOMbOGukq9/nmnS+4hhw0MSfL9SWz7C+BGa+1rjTFFpHfde4CbrLV/ZIx5N/BupB/AY1JiA2aTKsUg8TfkGMfdfD3s+mNxHzM4bClbEmCEPP3BJbF1s8KiPkBwaqYpmNRbnY7JKiZXM5H+4E0N9haDNPfM0vwHdz+0CxQ7g7wYJAwVRd26EEwvi7yD4QpB0z7VWFek3T2PUpD4Gv7hUt4BblRxt5YWOfpMzzT0DO1Uv7WGSmkxDrfQK4Ea1M6wdoZ7kgXea1wuLac/0jDwArRJhLW2Z62dBV6NdGqDQce2f/W0HIl0NnAc+HtjzNOB7yL9JNdba48AWGuPGGNO2yo+xFILuwTG+lXgXHyXdBaYzEukslXsKDQ+rdZRKYg9ej2jaSRBX9LoUkXYL+kcFYLEo+JLO5rFNqRgVQUVZY7ttMB0TxvBnwJ+KIc5ig7QpkBi3apXiRfGPmi8VLVEQerd+v576aS5tHHkSs0d5ThY6M9zIxTDlLGyBJ5nu3kNoPsNTmVcr7hEQpjtcuCvrLWXAU1EjS2L+ju2tWbPbFfCAT11aDkS6SBw0Fp7i/5/HcJIk8aYjSqNNgLHTvXl/o5tGy4at4GRDABn19TDxcyV2YCW6vt+kNJJHydVCiY5qYfPSJTvROTQ6/4KXTdG2mfY+85kS6omQpO5xrU+7tROi95GctInClIPDzhJ5Az2DEOSFP17EEmztN+Rb+mTRt6+yp+HoRmLjdbf9GGpoe4diDT04wZ9sTMniTo6RpwF/lrlJZUoSyGL5dByOrYdBQ4YY3bqoauAe4HPIJ3aYNCx7V89Lddr+3XgI+qx7QXejDDhJ4wxbwH2A6873SDWiiufEJwyDwk0bOG8tr7Eta5dnLxWCuKT7BvXxTUw2Uk9EKtB76RjcRb6efhOZmq/9GcbuHMya06SgqGx/jvOc3LkAM1+aqbFx1zxraTox++XML1sMWwBJyefxf1erAuzuEYdYeolkdME1SDzY1QLi+OHrbh4Snjj8WhZjGSt3QWcavO3q87kYokNmO4Jwuxu1pVUuwSzkMyjzP3kSpOd+uhkOaK89MeN+35Qd858Uj7pvG7fefkPmAeAk2zxDx4Ym6el9OWcO4ZxKsXtCxKEMbGrYtHX+bicN0hfglNZa3J112c8eyggygtCPaPpHNtx3uavtERVLcKOlHm6aejd/e6SAslWb7FjsxwaINsDWhFa1a1IjTHHEa9vatUu+r3TGp4a84Tv71y3W2vXnu6kVWUkAGPMbcvZI/XJpqfKPOEHY64D1TagFaEBIw1oRejJYKQPPgnX/F7oqTJP+AGY66rbSAP64aSBahvQitCqMZIx5hXGmPuNMQ9p/tIPDBljthpjvmyM2WOMuccY8w49/vvGmEPGmF3698ofgLnuM8bs1vncpsfGjTFfNMY8qK9jpxtnxee1GqpN98N9AHgpEgS+FfhZa+293/eLL4M06LzRWnu7MWYISZV5DXA1sGCt/ZMndYJ9ZIzZB1xhrZ3qO/bfgem+JMMxa+3jJhmuNK2WRHoW8JC1dq9uoPwxJDHuB4KstUestbfr+wayd+9pd8T8AaInPclwtRhpM3Cg7/9lbV36ZJAxZgdwGeDSZt5ujLnLGPN3T4bKOAVZ4AvGmO8aY96qxxYlGQKnTTJcaVotRjpVKPkHzl00xtSB64F3WmvnkV3DzwGeARwB/vRJnJ6j51prLwd+HHibMeYFT/aEYPUY6SCwte//x9y69MkiY0wBYaKPWGs/CWCtnbTWptbaDPgQZ7g/3feDrLWH9fUY8M/InCbVznP23imTDL+ftFqMdCtwnjHmLM1pugZJjPuBIN1+/lpgj7X2z/qOb+w77aeBu1d7bv1kjKmpM4Axpga8TOf0pCcZrkqlrbU2Mca8HfgXpO3i31lr71mNay+Tngu8AdhtjNmlx94D/Kwx5hmIGt4H/MqTMz1P64F/1m0sIuCj1tobjTG3coZJhitNA2R7QCtCA2R7QCtCA0Ya0IrQgJEGtCI0YKQBrQgNGGlAK0IDRhrQitCAkQa0IjRgpAGtCP3/399qrz6M2b0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GcemoGKvT3CsD/uIb3wHAn8zK4uWqv/t5Ro7JOxq9T+6bur2DSTRjpCZ91e6dh4oqdxoZkEyJaWXzOw7ypYULdQQ3sRoaItKQ1oTWFZFCUzAdtTi8byPBmAZrzWrwvRoGszH8Ssp0hc+723Oaah7oqVvEDqS1hrrK8/llFubaYlwbq6muEVisxjxF6iIposAbMVGjZmWhnFsT++S6W7+6F4D++Qmjt6mPa8D7rwnB/Jd/82EA3vrpl2j7htkvSrTCmU87rGMcpXZMltkOJQJdLQXdrAxAG5EO+htqbP6O+M4SdZsYa3nlb30GgL9euAiAT/zwUXL97j6bv6fe/K4MLBuNCRLnw5P3UYyOeBi59wUCr+6V5u88h42/+31Oh9aVkY52x/nDW55O2A6JNsrLzGK1JHdO9lc5UdXYuURTQ0acwpz0Y0id/UhFm1qbo27BiaYwUmOLKJfWmpOs3SawyxgSoPdIWSYXWYCxIoIcg/7NE/+CV98oPrP+lJoVKpZCJ8GOSMRS7SwJ7ejuHyPcLu3du0+U7r3VhPYOFW0nZGyVo3K9jUMfW52PyzXxQlIOrpB+Fh42zmcfvRuA+14njBTpGM/6zAxFQ5gwaPf9rTYIfB/yTAXzF0royZ6PSVbtgV8WBf4bf/oX/r7y2/3TULQNaU1ofb3/RizN/R1d8v2yNHUixXnTixBiDe1wx3aML9LPFYn80r1c9nvP/UBWa3REZmVjp8zofhZ5i3YxqHgHztem42irApobLn7uDwC47rMPB+BlH3o9O26SzpL7ZBzNsyM6lwrqvOPAL8m935WZvuGoZT7RFJGNIsr70xWqTRVpmn9W1EVchvNtbFX6d7lv0Z2HWbzyLPneU9HcLwgagrhn/qUsBNKHSTp6Plr1BS6yyRHfVtiXvgZRqvU8QcKvvF1Esgt7/nFoiEhDWhNaXxdJYej2Y/I0IFAkMM5f5vLbO4aK1jxItI7BzkaT25ubfRsARS8icuGxLsV9IOh+5JgaEW0Zj+RcI7kGwhVJCM5Pp59BU66546V/xmXXScGKxmGNG9pk6E8JYsydJ21UHzvL7537ZQD+309IuLBL4ug+e4Ho++rh/4HM9iBJfC0Bp1jnI4pC4RhG9aCgr0vyC3d5BIubgobBYhc0P/CH/0G8+ns/qHFJjapvI2wJ+tg4JOgKIqYbBCG/+LH3U9KPj0SOHpCRjDG7gA8BW5FQqfdaa99tjJkGPgbsBvYDL7TW3m/tClsYkk6F4ESFfExLxcyWKdIAQb8UUU7ctPNKWS3EKcypobKgqUNL+vJ19VQMZHb0s/IRs9SFMOqBgjL4Sz8rewTub0/75F+XNJ0wlBte8mtf5ktvlMIWqVrAu/snefrFEr159kv/DIC3vFkctYutSaYP63MuuUIU1jOjy/aOmqW4cc7aoCsPEC2U59DaRkd+cStbPygBfg97p67y6qKcB5VIStYA5Co6N46RKrMuZyAhlxLmyAUfng6tRrRlwJustecDjwFea4y5AHgL8GVr7V7gy/r/kP6F0gMikrX2CHBEvy8ZY25Dimw9G3iiXvZB4GvA79xvY7mBxYhK05Bo6ITzq/n+BsIygqz0q2WKRLmGVESt0Iu0uKNi0mVY51CbU4VT7xv08Q8u+U2+vP++Jkw+61P/njN+SYOr/6csiz/1ziez8bBUiZu4U2wvI/OWx4QSe20mRLHfrm1VliydTRoCMi7jGD+QMnJMFfYpDRXRxUU6XiGvyfdYw0kCSjFn1Ie29ZqcYFpEZrJbC2lsl8XF1E3zGLVUF4pS1hi++PEPSB+KPoOo4773rYi/hSJh1FQ5HTotZdsYsxu4GPgOsEWZzDHb5h9xzyuNMdcZY67LW6eX4jKknx5atbJtjBkFrgL+nbV20RjzQLcAyyu2VXfvtLaRU3t0k6wjHF/7hpgBfBB+YklHl9eH6WSVkwyHeaPA5KG/Z7ANa0qUOrYgymVcyUpUGoSnwhkz5XPsGzKLs7rh+C4Z2yZdin/lbX/M814gGbBf/e9/DMCzf/O1XPbI/QBc/x2xgLc3y/WLey214/K9/fNiIpj+U0Nek9de36/ZHlopLauHjBwU/1vQV19kt0+6TdAn1Hc+d9EEG78hkzI+Lp9jqsDnjQqhIpLRTJC5h5fZJA59clucVMCjqqXjUpuzP+twOrQqRjLGxAgTfdha+0k9fMwYs81ae8QYsw04/oDtZIb4RMyLLr+ebbHo5X/0rRcCoKWLiI8O5Mmrst3Po9L203O5z8YzjgvzqCyqS2AkoDepxUVnNBpxa4fABbm5AVlTikM1IFcX1OH6vGPMLAgjRWrvuejq13FeW364iz4rSY17u31uOyGhHJsuEAvx7A6tnvblBgvnSHsTX9Ifs+hw5HEyic74vLor1Npcne1jCrf0lGdKt08RzUifRusZLZ41yfRN0kdRlZ8wmpFFAlHoS/+5RMknvPo7J9Wh6tuMqv78KxkqNiHTQcHp0AOKNiPQ8z7gNmvtOwdOfRr4Tf3+m8Dfn1bPQ/qZotUg0uOBXwduNsbcqMfeCrwd+Lgx5hXAfcALHrClAqIlw/s+81Se+rQbAJj6oUD40ZeJAtq5YYyRGZfvJbct9ateCQ7UkVs7ERC3l4u0UC2/eTXw1dbG71RFcqso7cufvqAY1YC2QK5bOkM+//vZX+Bri5JLd2tPQiqqB2uYrkDXhmtVrHZSRj8uBi8ffvsiWQVUmwWVplzX0wLDUbPDGZ8XhHOligN13na3Nag5O5LafbqbqzQ6Wtp4QizVZ33wIKnWNnK1kJyCbecXsFuls2hB3unbt15LpjhcqLiLTUjXyrOMqB2pUJmfW0uwStXF0WpWbddw6gq2AE85rd6G9DNL62rZDlIYOWFJEsO+JYGbxd2qeH5F9JHmBTmR6kGF5rWleeArqkXO42/LQuoOaILUIZLxiqZb3mdp6C90eXAAtu+84cuLQ2yP5nniuKRZ32alNmUylZNtlOAv81wxA5hrCo5JTBm//dSrAfjI/xCfW2uHoX7MZYrINdlUncWzBFlc+rcLyB893KdQlLINQYnGfS1s7HyPagQ9dzO1/Wr7XVDdSH1vbJjyepbpqg5WaoXLvjta1Bqc9UBQv2NTYnN63rOhr21Ia0Lr62uLobvJUF2AO78vgedbZ2U2Hn2sXBP2AnobXcqqfCws1X35mTIprWzXrbwKzV3PqmV+va8DeQoygRUjKVqgnTLi4OV/8Qb+4BUfkGO6/D/rkymh6i5/dqF4zH+/9hs0Dkq/23UlWmnLwNPnLVD9kEQCuHI4prB+7CMzoivNPlxrGEyNsPl6VyRLjZQTNXob1Rfn0vdnU8yS1olUnYquoIqhxsJFsopc2qXuJwKPRLl1K9eCXAfSVATL0cQADLclp+d/W1/RlkN1AeKW9dbrY5fruS3qkNw34n1orkReb8C5Ggy4hdx2C6HL9lBRUVQGHLn64rJ2TFh3cSbagKXMRVuB+EECW6MFHYe8pplHVtn+VRnniz8tAW7nJbP8p3/zNwD87nefB8Dor4l9KLh6mpHjMpB8REVomvtU8APPl4epjwtTtPsR5rsykIO/KKK+cch6ET5164DdyXmGtcrI/JVnAzBxS9OXAfzWm96lTxN6BkqRPpeKnI5yZkf3o7g5EQV+dzzH6dJQtA1pTWh9K7YVEPYsvWlDZV5mQ/98nbFLGlC2PcWGWsdou4ZB5AHBCpFmilIMuYKc6ZgcaO2CqdvKYhAA0VyEGRXocmaAvFvm0PnEEp1al77wZl/1zSHYH7z2r/iTb4qV47JLJaBsKd7EX9x3JQDvfeyHABgLBLVe839+m8420d61IjO1fR1mHi3GRLOkYS33iPgzFYtJRDxO3K3L9XBg4ZBpmZ3tVeKDLmVFEMllADcfMekt/a7Aa0ZO3woan1BR2LMRR7Mx/a5KthbF/+ziI9lZmdUXfg+roSEiDWlNaF0RKW9YZi/PMGnAyFZRKsM7xZinFWeIW8YXMB+5Q3cuOjspM0ucrpSdXBi9vVkQ6fnP+gZ3PUWMcrd9QoyK2XRK6JCoX7pZnHnAuUjc5/ePb+eiHa6gpHxcUZvnT/RZrrtBEuDOrbRp9WUmv/qqVwJQP6RtVvEhrk55xhiqx9UlMrc8+2XH396DHZVl/NTNop8FS12vSNuebkhz72HsxhUljbWmZHUh5+zfu23ZudxaDutzzhZa4J2CiiqqheLJZt2GbCzsclQ3AFotrW955LF53v7Ej/H2t/8q4fPlpTz16VKZ/yM3/RwA8Q9qTN0hb7a7UR4wrOXkfbUC98sAOGe9dkp2e6e8zG/N7GHffRKMEGvFj9+4/J/40HW6NPSBbaasHJKXDAqQfHMDHzxb7EdZXX74R33xdZy/JArvhj0y/v6GcbrfkMlgNLNk6WwtDnEkpHm2vOKark5ttcKWa+V8Y58wi/OJLTz+TMZvVJflXZLdaEcbXnyxTc3jeUG20aVjC7OnWsOpsmQ4b/SIPJ4+aMemLBXSR8OUWSnhil3RnIhLbeTF3GppKNqGtCa0roiU2YDZfJTZKxPG/0EQ4yPnSGCWHZdZl4xZmudqurWiw/Rki5kZsYSHOjmNtR493HLa5cblf7SF+qO0GMPjBK5nk1GqY4oiizLbTFF6//0Oj/oZdS1fm5FqD87OYxYD9r1Yq6B9Ta5rDeyZuRLd0glLpLHjaUM+ky0NRo6oyDwuy+zosDzIxL4K1MUAtv/fy8aFZ362yd0vEmX8zM/J4MJO4iu7WZdcmbtx5+ytSpq4sx0dzCLOrwzkxwHf6k1yTetcALq6EmimIvbaecUHBErw6wPTEJGGtCa0vpm2SxP84defycQtkV+W+1I0uj1CMg5Vl0Lg4tus8QXVnbU77JUB9Y4m7i59y2P36VJ5SRDvS1dWCUO93m2AfArruIsowMJNN+2WsaluPnIs8AXdXZ1IDFTVfucqvDnTRuNoQW9avo9o6G9nc0xX6zhu1liisK31M2cWuPO3pCDX6L0yjn2/MsE57xe9yfQ1a7jXp/VYGVs8JtWAmwIuXPTqO3hCTa7PtQ7OnrhgRhMBvtmV++7ub+FrRyUQ77ju45v25Pozd8z6SnerpfVNkEwNtSMRi+cUNA65H9OtxuTfuCWxzoNUryR09cdxgWeVVkHUlZta29Qe4/cTDFk601W913a/O4a5QjnU5TcnYbm/rIv/bpcZKVu/qZZfDSI2GdRn5N7m2erCGCvoa/WRkUPCceP3arnBxDJ9vXBZ61xZBVljCHuuapoO2Mhn1BvlnPcdBcpCos0LDMeeJAOYvNPVHSzfTVfdJ7lsF8yLNn7H248cFdZyY18iyT9xTLYkm6x0GIlFTzhnqwTkuT1attUXmOufvGn1/dFQtA1pTWh9EamAqA2VxQDV66g/QlAi/Iz4eYIU5rU0T9SSqbcwP05doyXilisUYX2i4eQ+UUKdraZ5dsWLrbomN2YNQ/BF6cOcr4pqrcA03X4ny5ExSC3xkijBjYNyfeuMGp1Ny5EOa4hUPLuQER/6u1RQaAq283/F7YLp2wRZls7QUsXf1SV/HLF0kaDP4u5Q+4a5SwQ5pm/V3YtmWtzzGrEj7f2wyNr2NjEH7Es2c0VNrNEOmW5IIt53SPLxfm5acvByGzBdkXtn+nJvK5Xx7FvYyM6xJqdDQ0Qa0prQ+u5FEkI2qh5t1Un635aZVdNs1upswZbvyDk3K1vHR4i6y7NpbQj9aRm+293HBYjNX9Fn9EYN+lfPeVYvfXLVGdWeL+yQzclsdEhUaUkHJiu3huhukZlahIa+Gnx9uyPQOOgC1Er/GEC8lPpluhtbMh4ObEUq1x15mmx3QQDNiwR96vdqiO75Xeq3ikng0BNibWsEGwpa3v18gfbnPvlb8n9vM/VJycebySWq4JU3vJKLt8mxzx0QuG/esoFgt5zfs0n8ameNyefTNt1Kqo7Mv2V1NESkIa0Jre/myGN9LnzKD7npm3t9kQeHBAt7NcjqioRtn9IyL2ocHDkcYnV97rzoRRRw4hLXsua/b9VogaUYrhTda+5OgZA9lxxg381S+qXQanGNsKCnhbjMndqnrgTjpYR0TDNh9djSGWFZfkd7rs2WqzC31YQ72dpZY1RXpdWMlFsZAAAXZklEQVQ5GVt7a91XmKsf10IRo/JQS4/tUrtD0McV8or210gm9dnr+pyjGeM3CkouXSov6ZcnJZmiZlJA2nverb8GwJPOuIvbFiTYbXa/6Il2Y8rGhobYRvIONlWWfBv3+SKZq6N1ZaTuUpWbv7aXxiPmeekzrwXgAx/5RQAKLU/cuGmEtiL92CF50c1aVEZBujjn1LLh+2XZYoDgFnXyPnORriZg5g0RLQeu2UVVreL5ttLKG8TLLcNuaR10EpKd0vCiZpZ0N1mfSBlp0nDjaOEnQ9JYPjl6U4YiEsaI+qV9ym1vZXTck3drFf8za2Sjy9PPbTywz65ufljMB3S2KaPFMvDPNGVbsT/Ych2f12d/0lYpyP6pex7Bz++QXbt3XCpK9O1zW5iZFfvRrIr3u8fF5rZnahjYNqSHiNZX2a4WZHt6tG+Z4gPfFiQav1c3ST6imRKB9SLC70BkYdO3xGdmejJ7979kB4EijP90cWjXTpCdKWg2uk2go9+cINmoUDGjlcymexQd9aN5i7lCUz+htU23nNDicvGS8f49ZzQNMgjVDOGOuX3PjLX+GVLdqTvIS79b5DYZ1J2I4pYhGylrUwLECwGpbh7oSv+ko9Z/z/py72KmNSdNqOINPnOvVJqbbnR47vR1ALznsJRpnl9oUL3LGUJlHGlF/j/2+IRjx8W/t1oaItKQ1oROp4hECFwHHLLWPtMYswf4KDANXA/8urU2ub82SAKCQzXS6ZytusQ/+miZqZtu1KIPP2fYeKNTeLXIeDUG9XJ394rrYOzegvF9YkNY2i0IM/NIdaM0DWPbRHE8Y1J0gu7lLfbdIwqnUb3IBNZnp/hCWJrVShiSjulXt+daUCYVuOV/EUJVTQZuOR/3XdljS7QoF1bmtQbmVIXFMzVGaU7u626QMdRmLEtnSrv1w1ppbtISaF/Oz5dXjS/5c9UTpbjXt7tSZ/KetMUXFh8HwBXbRS966fS3uVbPj8XSWP3aus+0KfMC9dmMpVo/ve3aT0e0vQG4DdCCfPx/wB9baz9qjPlz4BXAe+6vAWNFccwmLbMXiBxyVe0X9sjTjB6A44+TH/XYk+QFn/GprCyqoCJiwzWH6J0jVuDOZnnpU7erH24pp70oq5ODkXy2t1s2SJi1Z4yZS2Jqs1qPSPfjcFVAOmdPUZtT8aLW9MbRxJfVy6suZTvzUZDGVRBx9Yz6iZ8AZkLk40g3xeSiZceLcn0RO59bQF1Xs4vnqz1pQ4dqLO1N1YWLzxqb9XHnBzJZlV6u1ux/6p3JhXWxGYW6fLw73cy0rg6eMCl7i172W/u9rahfuO2dhHIb0FeH79tYHa1KtBljdgL/CvhL/d8ATwY+oZd8EHjOKvsc0s8grRaR3gX8R0DBng1A01rrdpM7iFRxu1/aNT3Du371fQC0V4RyttV5FRrrZ1KgGvDc40YZU6NSQ3F+Ma+xuyIKuLvetbkv2czWWMJYneLZszFjgczoSf1sFiMc1Rn9oSdKGO6Bf5CwjA23pjSOaLV8tQFFzS6F1mIMO+qja/UwLZV3mmhoNTS26PUwkbziQO1JtlbBBSnkdWkr6rhyPMYXPq3/gizB33z2FwlXJN0lNqRQ87h75u+lIhNrQUrsIgKVYnIfRhvou3LvESDXYu7umn4RMx2cXlG01ZS1eSZw3Fr7vcHDp7j0lCmtgxXbFuZOL8ZlSD89tNqyNs8yxjwDqCE60ruASWNMpKi0Ezh8qpsHK7ZNnrfZvvfwlbxp59VsDSWIfkw1vFmdWZ2i6pFoUvPDeprdANBU/eJAvoFOsaRtCCJsDmUW7W40qalFb0ljbFIbkCv/t63uJ2IDzo7F8/57e2R/spdPvhaAuF3O6kwtzyYrfDF0hz4EQfk9Xz5RgkYd65BIM2KpVSg0c7e7RbCpvbUMtHM7IPU+Lvpf+NaCxLpnKH+ucEUxiMmwo8/rg7I8Wo0HXY9SoWJHM6/6wmPj+v5mdOPpepCUOX2rpAdEJGvt71prd1prdwMvBr5irf1V4KvA8/WyYaGtf+H0YAySvwN81BjzNuAGpKrb/dLGuMVvbPsWDVMuLXs621xqTD3oU9HZ5o5VKKhqKOPWivjQHlUt42ViRRpXHGout1zbk4jAv5+VXYMKG7BjRO65vCHL4trAzPvD/c+QMd6kfd43R+tCMRe4XSWLeCB9SbNew35BpHFQbrcjt1Kj0yt1AN2spqhXfdxUdV6LqOsWEkFWVr+tNaWNO/tbqCmauFXWQj7CRl2FOaQ5looBsR72iXWQC+o7us9u8DrmUhlGSk2lwbyRaMgZtbwGxp5clOwB6LQYyVr7NaQMMtbafcDlp3N/gaFXxNyebPXiy+0otFSIUWNQCZ8M2/57bpeDZ8XkXlS5F+dytprFKBtUzL152xfkGgoWtG3HPMfzMXparezw1aJkb9QleT45SjrqrO06hmrgQ0XcbkNhWvjvZuUORP3E72hkdZO9ol7xpgxXjH1CbVet3Q3UQM3SmdLGXZ3NzCfq89ONoTtphWokDNTSqiGJ282gCE5igsFdoQKtDZkkkd+SteiqdT/R8UeF/77aQJKhZXtIa0Lr6/0vKtzU2cVE1GVBzarXWrG4trVU2kiQ+K3Zc+Xz6ajtIdnNtmZW9zsm9XUf0RG1NHbz2CNeoucqQea3bg9UZKY2YKYncO63MZ0RxbO/eYT+uAuPdSEsxgfkuU31wlZC0Ftu0DcOEYwpd1N25/o5gdsrZEEQN90iYqk/Yfx62GWmfOGWCwgrKkZ1w8JKJWNUNzTsJYJ0boPDwhq/fK5rcP9IlFLTd9PQkJHpuE1XTS4u6P9U4uwDJx05NQ0RaUhrQuuKSEtpla8fO4ddY03P/RUNBJrpicJnraHQaZnm5UxJVc5n/hhsasiMbiWCZk5vGFQWG1qdIjGhRydHtTD1qOa8BL0tbqPiwiNRbV5dILn1xsPIuVQW2mVufuTq7JSI5Oo+urSroN0rr1NzQXeb2+qh9OGNzGoe3NEK5z3uHj9ekAL201XdWFmfyaFsgSHRd+TORSanpxGBiT7vQlKjkwki9dyG0/rOumnMaHVgM51V0Loy0qZKi1ft/kcqprS0TqtSPGgjOZoJ1DtbyWTY8Qq1s/L2itivOo5n49qGvMDY5HQUtl2tok5Rpad9uFVQPejz3aU9ABypy3ZVi2fINeP3ZUzfIPLFWbOLWuyTGYOmWn57fawmLrpdq/2uCNXKsuJwIGEwti02H6tFIZKGCzspdzFw1UWiVuAZY7FfincX1ehSq6Og8OccAznGmOs1GK0IY7htxwob+XtqUbqsjYdNHvdp3KuloWgb0prQ+hYjxdCzFTZEc+wKJGOhtKD2/f/OUu3q9wB+qd8bMA/0VB7VfKkWQaF+EXskKquRVagqgu3XSvCjUd8r9lndlVOWlpKxkBFdxgd3S4hCOD1VWrH7J0fMeCRS/xqFhb6LGtOi62lG3tIi62fpPkrutq714SwOGbdem7BwhSDRprrcVwkyb5V2n050dbOYWNUFpzYQJ16EO3NBYKxXxh3KOwQ70nUBHqunISINaU1ofavaYj16NIv6snPO4FgQ+GV6e8CA6FDKFYDKCZZ59mG5/8n5nJze1CkqHsGcWWE2GaWZinKdbpa2Kjdr2Gu7IB+VvqKqfNq5eXCFzBV1TCXGZmrRVsXaIZNNEl9lzV9TWIIR3YFJda9YyymHSZndG+hul7MXVii+Khb28MlSF6ARJxh9R05XihRKq6EZQCsNY45yjzYbaoJqi0nNX+f0rMHl/8qt7R+I1nmXbesVZMckhT15wM4xWxtwpaysIFbYgCMaAuKYxbkNFvIRzzROaTyRjDKqL93B/EJaY0mtxY0pYdTABWhbmLlImGx8UkI0GtcfoFCxZDuuLImVLb+hFF/Owp1m/pzVFVowOkr2SCllnE6oaJ6V+4IkJ2rKOMzDdMJUyzLQR+dE5DTqfW9HcjagSJkms0H5PSgZxG1T1nb1pYylm7mVnLqplLGqUeZF4GppKNqGtCa0vlkkGFIb0cwjjzap8rJDlXZR9d8dWuUYOnb5DEmLyF/nbChzuunbwd6UX+a21VYSmYJ8heW2sIZQl7yTGsbanZZZn1cNiQvj09eUjZxJ4z5BouiAlILJjh7z4s72V9herMWoWAw3SGp6cv5O2tsq2p5LlNQaSof65OM13z9A2rBkY2oj0oyXtjV0eyoWNa8t0tpPlSj39rTxqij6UVB4MeY2i24lVb/cH1PTgLtmNO4zUelyOjREpCGtCa0vIllBnl4R09BshoYpQ2dBjIkOrVyIRKeonhSgDqWCfkLrKTt9oV+EXt4731JuDUupKrl6X2Cst4p31GfVFrskIycol+W6gm9vDumPiQ41paEgUZqW2zm4fUF07xITx/T3iqLc2qGIasu9SqpNDVlZUCNnu0dvkyQruOzhdLLAarZwWJP3Ece531HTWRwcmmgX0qc+WxgUVLXohPMajFb6jMalf04+1XtQBNTC5eG6D0RDRBrSmtD6biGhVA/6Hk2codG5SAprqAUlEoEs5Z3+U9eK6v0ioqURA24V5rz/wUCwvEOmfh4Rqx7RzlVHKQLq6otzLoSDF8m4WndPEHbVH9iS+6Z/0Obo40SHOna5jKexa69PUSq3odAs2Fqpk8Ud1WEWc7+vXKBZvcmkjGdp9yYfceAKR9jQgsYGuYC43Fif8+/MAE7/y7PQxyZFA3Ugw0DDixXJNtY73ojp3p9DrQhoJiOcDq2vHclYaiZlLOzSzFUcufIeSrHJfSX6+kCmw4JZbneqBpm3B03Fy3eE7g2IQVeNDAZelFp826ZKRV+2q17mXurcOZbFJXmZS7PyOX/uOCutFc1zArxx3jvU5COr24FtwdTGNCAE3Kl8TE0EYTkBPAUWNKHTpspQoSVxBex1/IFu1pJloS+6agZqSbrzLkduMSnNKW6yOSf56RYihaFoG9Ia0bpbtutBn5jc51U5i/XgdgbO6u2U7VqR+iyJ2VwQprABE8ixTr7cWBkMbDXqlMtGmHgkct7xapDRUQif0Squzpg3We/6sNTu49VUkUTkqQsLGTAlaH/WlV1OnZZul6WHu2usKxJfcfl7A+PV9oOoPObG4doIAutFmkMYM4AqThF3JgFLiTKVyEVR2PKYvhe3CAlN4UNLVktDRBrSmtC6K9sFASmhz/h0SveSrfr/Xdatc6dA6R/z/jVictWv6hoN5vStLeGC97VdMNrX+zKvsB/uS7xTFOQnLXMnqoKQhTWMaJxOoWVomr0Rr8g6l0MUFt6o6c51+6rMpyGBMxRWyn4cYuS5LrdTDU4LCioNNQUo+hSF8de7Y9Yaj0ClYq2FN8KcfMXGxqGxZUCgi18KCy8DVrpI8iIY2EJidbSujJTakKPpxLLkOyfSen7VFvigNEdVk3kRlQ/Ar/vuYrYds/WL2Md4u3NJEXk702xfRGdgrBcrzpbixF6Sh759F5YxEqeeadz1obF+xVSvaIy0fjbbI/4HdiIIIFMG0gp9JFHJBHG0XNHNC+OZwDlS4wHmX2mtN8b61ZpbpY7EKXPtuj8v44duEi87Fp9K2V8lDUXbkNaEHhJfW2xyH/LhUGTM9Px1LgBtpWkASutrNUhLn5yz1prSXODsTe7zYG+KRrQ83LSbx8syT4TUAmwNNl8eV16p5P5eR/08WhYvDRLzDNCoJd5u4z7DAUXZKb4OrUJjy63kHOIFUNPzHRWZg+jmt1UtBmxWfvmv4bpBseweEDROFRkrK1DQWuPRarU0RKQhrQmtCpGMMZNIbaSHI6vJlwN3AB8DdgP7gRdaa+d/RBOAC7WNCK31wfzOCp2fgqddkH7PnjzMVl7ziOR0n9G4p/9Hvv1BVHO+NocglSDzSOSOOY943SQD8TyKYFl8krEuNIVXvJ2C6vSuWpR5RdahQ2gsI7XlIa52QM8pVhR6CbDeLzkflkZZlx3jDKjpQD9OlxrU56Zq3WXtp3lIFCwfr0O3bCA3brW0WtH2buDz1trnG2MqQB14K/Bla+3bjTFvAd6C1AP4kZTbgIWsTj1I6Gh8dWyW/zD1IDlpi8zCBgMRlLpjUV45KW7Z2ZMKjGcuryiHCdkKURlZQ6w/ZuqVeGUoU/gXu6AMGIeB76s7YGdxDOGY0MdKg1/5uc9l/QcnW5BdGyVj5z5taLANFxnpUpQG3R0r30toijLrxE2+vHzLTmF3zJhmoV9RrpZWUx9pHLgSLRJhrU2stU3g2UilNhhWbPsXT6tBpLOAE8D7jTGPBL6H1JPcYq09AmCtPWKM2fxADYllO/HfoVSsB6uRrKxQFptsIFZbl9pBwqjmWc9o1dDB+xa0KIXrZzTse3Qq283LmG515DoUSm3oZ6+ru9TKKiyucGZmReDtO2MqWp3/rpfFJynnlVOEZwzGTgcr0Dg09iTn6sp7AG8PaxcBPQ1ecyKzUUn8mJK0bMM9qz2Fwj7oHVgNrQa/IuAS4D3W2ouBNiLGVkWDFdva8/df9HZIP720GkQ6CBy01mpBYz6BMNIxY8w2RaNtwPFT3TxYsW3nhRPWoYZTsn0G7YA5wBsdB46VyKXhoWHPf3f1fcolf98bNV1/U3HbK82u77SITiqXM0gOHZxRMytCr9cMhqI6nWil0hqYgkJ1tWBA8XXnoxXGzU5WIQuWL0KSIvS6i0Oawhp/zPXpw3KKYJny7sjpWc1eiahOH4w1NHesqr7FND7J0PlAtJqKbUeBA8aYh+mhpwC3Ap9GKrXBsGLbv3ha7art9cCHdcW2D3gZwoQfN8a8ArgPeMEDNeIKbcUm9zOotQIlQk42DbTymv/uTALNvH7SdY6WippftaUs14FguanB6RiuxEs+4PpwpgF3rMCQabun0nWSYjlKwMlo1cvjk/L1B1eCXfWbuPsKjDdwOgoG3DJepytcvFOpo3m0KgKPRK5PZxpY1q7TW6PMI95qaVWMZK29EbjsFKeecjqd5TZgMast83E5cqXpAiypWf4QvSL2Iio9xZC9uNSX0xkob+eYprDGi6hT5dLl3hakfQd5qfgqyo+EqbeEO0atBpmPuPTLbsrld0Wvd8yTDYge92O5H3VQJA3GlbtNjFcq4lCaIQbF5aBF2/e9gvGKPDzZT+faTCPv3F0tDS3bQ1oTMq5877p0ZswJZNU380DX/gTQRn46xgn/vGM901q76YEuWldGAjDGXGetPZWY/Imin5Zxwk/GWIeibUhrQkNGGtKa0EPBSO99CPr8ceinZZzwEzDWddeRhvSzSUPRNqQ1oXVjJGPM040xdxhj7tL4pZ8YMsbsMsZ81RhzmzHmFmPMG/T4fzXGHDLG3Kh/z/gJGOt+Y8zNOp7r9Ni0MeaLxpg79XNq3ce1HqJN98P9IfA0xAl8LfASa+2t/+ydr4LU6bzNWnu9MWYMCZV5DvBCoGWt/Z8P6QAHyBizH7jMWjszcOx/AHMDQYZT1tr7DTJca1ovRLocuMtau083UP4oEhj3E0HW2iPW2uv1+xKyd+8D7oj5E0QPeZDhejHSDuDAwP+r2rr0oSBjzG7gYsCFzbzOGHOTMeavHgqRcQqywBeMMd8zxrxSjy0LMgQeMMhwrWm9GGnVW5c+lGSMGQWuAv6dtXYR2TX8bOBRwBHgjx7C4Tl6vLX2EuCXgNcaY658qAcE68dIB4FdA///yK1LHyoyxsQIE33YWvtJAGvtMWttbq0tgP/Nae5P989B1trD+nkc+DtkTMdUz3P63imDDP85ab0Y6VpgrzFmj8Y0vRgJjPuJIN1+/n3Abdbadw4c3zZw2XOBH6z32AbJGNPQxQDGmAbwCzqmhzzIcF0yba21mTHmdcDVQAj8lbX2lvXoe5X0eODXgZuNMTfqsbcCLzHGPAoRw/uBVz00w/O0Bfg7LQgfAR+x1n7eGHMtpxlkuNY0tGwPaU1oaNke0prQkJGGtCY0ZKQhrQkNGWlIa0JDRhrSmtCQkYa0JjRkpCGtCQ0ZaUhrQv8X33zJY36XR0IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 144x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# randomly printing one input data\n",
    "r = avi_idx['00jrXRMlZOY_0_10.avi']\n",
    "print(r)\n",
    "for i in range(frame):\n",
    "    plot_image(train_input[r, i, :, :])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Deal with Lable (caption)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length of data:  1450\n"
     ]
    }
   ],
   "source": [
    "# Read label data\n",
    "with open('./video_data/training_label.json') as load_f:\n",
    "    train_label = json.load(load_f)\n",
    "print('Length of data: ', len(train_label))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A woman goes under a horse.',\n",
       " 'A woman crawls under a horse and gets a surprise.',\n",
       " 'A girl is jutting out her head from between the back legs of a horse who shits on her head.',\n",
       " \"A horse defecated on a woman's head.\",\n",
       " 'A horse excretes on the head of a woman as she gets in between the fore anf hind legs and sticks her head out.',\n",
       " \"A horse is defecating on a woman's head.\",\n",
       " 'A horse poops on a woman.',\n",
       " 'A horse poops on a woman.',\n",
       " \"A lady was pooped on because she was under a horse's tail end.\",\n",
       " 'A woman crawls under a horse and when she sticks her head between the horses rear legs the horse defecates on her head.',\n",
       " \"A woman goes under a horse's behind and gets pooped on.\",\n",
       " 'A woman goes underneath a horse.',\n",
       " 'A woman is crawling under a horse.',\n",
       " 'A woman is getting pooped on by a horse.',\n",
       " 'A woman is walking between horse legs.',\n",
       " 'A woman is walking under horse and it poops on her head.',\n",
       " 'As the woman went underneath the horse, the horse pooped on her head.',\n",
       " 'The horse pooped on the lady who was underneath him.']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view label: there are over 10 captions at each video\n",
    "train_label[0]['caption']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# randomly pick one caption for each video\n",
    "captions = {}\n",
    "for dic in train_label:\n",
    "    for cap in dic['caption']: \n",
    "        if len(cap.split(' '))>=9 and len(cap.split(' '))<= 11:\n",
    "            break\n",
    "        elif len(cap.split(' '))>=6 and len(cap.split(' '))<= 14:\n",
    "            break\n",
    "    captions[avi_idx[dic['id']]] = cap.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a person is itching a toad.'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "captions[738]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make a word-index dict.\n",
    "* from collections import Counter \n",
    "* import nltk => ('caption'.split(' '))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "word table length:  1855\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Counter({'a': 2365,\n",
       "         'woman': 245,\n",
       "         'goes': 5,\n",
       "         'under': 3,\n",
       "         'horse': 24,\n",
       "         '.': 1403,\n",
       "         'man': 441,\n",
       "         'slicing': 38,\n",
       "         'butter': 6,\n",
       "         'into': 142,\n",
       "         'bowl': 53,\n",
       "         'slow': 6,\n",
       "         'loris': 4,\n",
       "         'is': 771,\n",
       "         'eating': 31,\n",
       "         'an': 88,\n",
       "         'egg': 13,\n",
       "         'putting': 14,\n",
       "         'pepper': 9,\n",
       "         'someone': 118,\n",
       "         'burning': 1,\n",
       "         'the': 268,\n",
       "         'tops': 1,\n",
       "         'of': 226,\n",
       "         'two': 78,\n",
       "         'cameras': 1,\n",
       "         'with': 159,\n",
       "         'torch': 1,\n",
       "         'clouds': 1,\n",
       "         'are': 131,\n",
       "         'quickly': 3,\n",
       "         'floating': 3,\n",
       "         'past': 1,\n",
       "         'building': 3,\n",
       "         'older': 3,\n",
       "         'jewish': 1,\n",
       "         'slowly': 3,\n",
       "         'speaking': 3,\n",
       "         'peeling': 20,\n",
       "         'apple': 2,\n",
       "         'doing': 29,\n",
       "         'some': 27,\n",
       "         'yoga': 1,\n",
       "         'stretching': 1,\n",
       "         'exercises': 4,\n",
       "         'in': 274,\n",
       "         'suit': 3,\n",
       "         'one-handed': 1,\n",
       "         'push-ups': 1,\n",
       "         'pours': 28,\n",
       "         'water': 46,\n",
       "         'kettle': 12,\n",
       "         'from': 53,\n",
       "         'glass': 16,\n",
       "         'measuring': 2,\n",
       "         'cup': 4,\n",
       "         'bird': 7,\n",
       "         'dialing': 1,\n",
       "         'phone': 9,\n",
       "         'large': 39,\n",
       "         'dog': 55,\n",
       "         'gets': 15,\n",
       "         'something': 16,\n",
       "         'out': 32,\n",
       "         'refrigerator': 1,\n",
       "         'erasing': 1,\n",
       "         'chalk': 1,\n",
       "         'board': 7,\n",
       "         'baby': 50,\n",
       "         'pandas': 2,\n",
       "         'crawling': 3,\n",
       "         'on': 241,\n",
       "         'bench': 4,\n",
       "         'wearing': 9,\n",
       "         'headset': 1,\n",
       "         'singing': 19,\n",
       "         'microphone': 9,\n",
       "         'bags': 1,\n",
       "         'produce': 1,\n",
       "         'and': 161,\n",
       "         'talks': 4,\n",
       "         'to': 83,\n",
       "         'group': 24,\n",
       "         'chopping': 18,\n",
       "         'up': 58,\n",
       "         'roundish': 1,\n",
       "         'white': 21,\n",
       "         'objects': 1,\n",
       "         'small': 36,\n",
       "         'pieces': 36,\n",
       "         'knife': 41,\n",
       "         'picks': 7,\n",
       "         'strawberry': 1,\n",
       "         'playing': 116,\n",
       "         'flute': 9,\n",
       "         'band': 7,\n",
       "         'algebraic': 1,\n",
       "         'equations': 1,\n",
       "         'yellow': 7,\n",
       "         'train': 6,\n",
       "         'driving': 7,\n",
       "         'track': 5,\n",
       "         'bridge': 2,\n",
       "         'wrapping': 1,\n",
       "         'block': 3,\n",
       "         'tofu': 3,\n",
       "         'paper': 16,\n",
       "         'person': 56,\n",
       "         'falls': 8,\n",
       "         'off': 35,\n",
       "         'while': 27,\n",
       "         'riding': 42,\n",
       "         'dirt': 6,\n",
       "         'bike': 16,\n",
       "         'three': 17,\n",
       "         'legged': 2,\n",
       "         'rottweiler': 1,\n",
       "         'walks': 5,\n",
       "         'outside': 8,\n",
       "         'dancing': 35,\n",
       "         'chair': 7,\n",
       "         'cracks': 4,\n",
       "         'eggs': 13,\n",
       "         'girl': 50,\n",
       "         'boy': 71,\n",
       "         'sliding': 4,\n",
       "         'down': 49,\n",
       "         'slide': 5,\n",
       "         'women': 26,\n",
       "         'get': 4,\n",
       "         'taxi': 1,\n",
       "         'broccoli': 4,\n",
       "         'cat': 48,\n",
       "         'guitar': 37,\n",
       "         'plays': 7,\n",
       "         'couch': 8,\n",
       "         'pigs': 1,\n",
       "         'their': 12,\n",
       "         'food': 18,\n",
       "         'puts': 20,\n",
       "         'together': 7,\n",
       "         'gun': 8,\n",
       "         'violin': 5,\n",
       "         'then': 11,\n",
       "         'starts': 2,\n",
       "         'sing': 1,\n",
       "         'wolves': 1,\n",
       "         'bear': 8,\n",
       "         'chasing': 4,\n",
       "         'each': 10,\n",
       "         'other': 16,\n",
       "         'preps': 1,\n",
       "         'salmon': 1,\n",
       "         'meal': 3,\n",
       "         'manas': 1,\n",
       "         'masalo': 1,\n",
       "         'panima': 1,\n",
       "         'nakhi': 1,\n",
       "         'halave': 1,\n",
       "         'che': 1,\n",
       "         'slices': 25,\n",
       "         'piece': 34,\n",
       "         'meat': 23,\n",
       "         'strips': 7,\n",
       "         'cutting': 48,\n",
       "         'drinking': 4,\n",
       "         'at': 42,\n",
       "         'table': 10,\n",
       "         'garlic': 10,\n",
       "         'being': 30,\n",
       "         'mixed': 1,\n",
       "         'running': 27,\n",
       "         'road': 16,\n",
       "         'kitten': 12,\n",
       "         'tags': 1,\n",
       "         'raccoon-like': 3,\n",
       "         'animal': 10,\n",
       "         'hanging': 3,\n",
       "         'ropes': 1,\n",
       "         'suspended': 4,\n",
       "         'ceiling': 7,\n",
       "         'hand-held': 2,\n",
       "         'stage': 15,\n",
       "         'pair': 3,\n",
       "         'zebras': 3,\n",
       "         'gorilla': 2,\n",
       "         'bongo': 1,\n",
       "         'shopping': 4,\n",
       "         'center': 1,\n",
       "         'bangs': 1,\n",
       "         'window': 2,\n",
       "         'sitting': 16,\n",
       "         'stairs': 4,\n",
       "         'dance': 8,\n",
       "         'moves': 4,\n",
       "         'young': 33,\n",
       "         'lipstick': 1,\n",
       "         'brush': 6,\n",
       "         'talking': 30,\n",
       "         'drummer': 1,\n",
       "         'drum': 1,\n",
       "         'kit': 1,\n",
       "         'rides': 10,\n",
       "         'street': 13,\n",
       "         'through': 16,\n",
       "         'town': 2,\n",
       "         'dances': 7,\n",
       "         'crying': 4,\n",
       "         'tying': 1,\n",
       "         'rope': 8,\n",
       "         'noose': 1,\n",
       "         'rolling': 3,\n",
       "         'dough': 10,\n",
       "         'balls': 3,\n",
       "         'hands': 11,\n",
       "         'opens': 4,\n",
       "         'drawer': 1,\n",
       "         'climbs': 3,\n",
       "         'mixing': 12,\n",
       "         'flour': 12,\n",
       "         'jumps': 9,\n",
       "         'over': 24,\n",
       "         'licked': 1,\n",
       "         'by': 24,\n",
       "         'puppy': 11,\n",
       "         'moonwalk': 2,\n",
       "         'steve': 1,\n",
       "         'martin': 1,\n",
       "         'magic': 2,\n",
       "         'act': 1,\n",
       "         'turning': 2,\n",
       "         'chicken': 11,\n",
       "         'wings': 3,\n",
       "         'tongs': 2,\n",
       "         'spinning': 3,\n",
       "         'writing': 3,\n",
       "         'letter': 1,\n",
       "         'fish': 13,\n",
       "         'swimming': 5,\n",
       "         'opposite': 2,\n",
       "         'directions': 1,\n",
       "         'ocean': 6,\n",
       "         'squirrel': 3,\n",
       "         'hopping': 2,\n",
       "         'back': 12,\n",
       "         'forth': 3,\n",
       "         'grass': 11,\n",
       "         'it': 25,\n",
       "         \"'s\": 18,\n",
       "         'hind': 1,\n",
       "         'legs': 2,\n",
       "         'holding': 16,\n",
       "         'umbrella': 2,\n",
       "         'has': 5,\n",
       "         'jumped': 1,\n",
       "         'hurdle': 1,\n",
       "         'wall': 7,\n",
       "         'cuts': 35,\n",
       "         'rind': 6,\n",
       "         'lemon': 1,\n",
       "         'staring': 2,\n",
       "         'camera': 7,\n",
       "         'meows': 1,\n",
       "         'tomato': 10,\n",
       "         'sauce': 10,\n",
       "         'pot': 17,\n",
       "         'bicycle': 9,\n",
       "         'chef': 21,\n",
       "         'serving': 2,\n",
       "         'several': 7,\n",
       "         'ingredients': 7,\n",
       "         'spills': 1,\n",
       "         'drink': 4,\n",
       "         'adds': 6,\n",
       "         'noodles': 3,\n",
       "         'pan': 21,\n",
       "         'boiling': 6,\n",
       "         'stirs': 4,\n",
       "         'chopsticks': 5,\n",
       "         'places': 3,\n",
       "         'rices': 1,\n",
       "         'towards': 3,\n",
       "         'tornado': 1,\n",
       "         'open': 6,\n",
       "         'field': 16,\n",
       "         'otters': 1,\n",
       "         'pool': 9,\n",
       "         'instructing': 2,\n",
       "         'about': 9,\n",
       "         'batting': 1,\n",
       "         'pouring': 13,\n",
       "         'oil': 8,\n",
       "         'plastic': 16,\n",
       "         'bottle': 8,\n",
       "         'makes': 5,\n",
       "         'great': 1,\n",
       "         'play': 5,\n",
       "         'cricket': 4,\n",
       "         'game': 6,\n",
       "         'monkey': 14,\n",
       "         'climbing': 8,\n",
       "         'head': 5,\n",
       "         'statue': 1,\n",
       "         'excited': 1,\n",
       "         'fire': 2,\n",
       "         'he': 4,\n",
       "         'lit': 1,\n",
       "         'alone': 1,\n",
       "         'smoking': 3,\n",
       "         'cigarette': 3,\n",
       "         'repeatedly': 2,\n",
       "         'kissing': 3,\n",
       "         'his': 60,\n",
       "         'reflection': 1,\n",
       "         'mirror': 5,\n",
       "         'swing': 1,\n",
       "         'brushing': 2,\n",
       "         'her': 29,\n",
       "         'hand': 15,\n",
       "         'hammering': 2,\n",
       "         'nails': 3,\n",
       "         'strip': 2,\n",
       "         'wood': 4,\n",
       "         'made': 1,\n",
       "         'skull': 1,\n",
       "         '``': 2,\n",
       "         'talk': 1,\n",
       "         \"''\": 2,\n",
       "         'moving': 10,\n",
       "         'mouth': 4,\n",
       "         'tape': 1,\n",
       "         'box': 10,\n",
       "         'peel': 1,\n",
       "         'potato': 23,\n",
       "         'adding': 11,\n",
       "         'little': 10,\n",
       "         'blender': 1,\n",
       "         'milk': 4,\n",
       "         'banana': 3,\n",
       "         'end': 2,\n",
       "         'stem': 1,\n",
       "         'sock': 1,\n",
       "         'scissor': 1,\n",
       "         'beach': 9,\n",
       "         'onion': 29,\n",
       "         'sliced': 3,\n",
       "         'crosswise': 1,\n",
       "         'finger': 4,\n",
       "         'thick': 1,\n",
       "         'rings': 2,\n",
       "         'walking': 37,\n",
       "         'hold': 1,\n",
       "         'lady': 11,\n",
       "         'sniffing': 6,\n",
       "         'duck': 2,\n",
       "         'can': 7,\n",
       "         'containing': 5,\n",
       "         'vegetables': 6,\n",
       "         'using': 19,\n",
       "         'sign': 2,\n",
       "         'language': 1,\n",
       "         'toe': 1,\n",
       "         'brown': 5,\n",
       "         'boot': 1,\n",
       "         'sword': 7,\n",
       "         'peeler': 4,\n",
       "         'long-eared': 1,\n",
       "         'long': 2,\n",
       "         'tail': 8,\n",
       "         'cnc': 1,\n",
       "         'lathe': 1,\n",
       "         'machine': 5,\n",
       "         'sharpening': 2,\n",
       "         'pencil': 5,\n",
       "         'firing': 5,\n",
       "         'carrot': 9,\n",
       "         'motorcycle': 13,\n",
       "         'rider': 4,\n",
       "         'shown': 2,\n",
       "         'performing': 8,\n",
       "         'stunts': 2,\n",
       "         'feeds': 2,\n",
       "         'teams': 5,\n",
       "         'men': 33,\n",
       "         'soccer': 16,\n",
       "         'polishing': 1,\n",
       "         'floor': 8,\n",
       "         'stirring': 13,\n",
       "         'onions': 7,\n",
       "         'petting': 5,\n",
       "         'wallaby': 1,\n",
       "         'tries': 3,\n",
       "         'making': 14,\n",
       "         'call': 1,\n",
       "         'mobile': 1,\n",
       "         'sings': 2,\n",
       "         'shooting': 8,\n",
       "         'draws': 2,\n",
       "         'face': 9,\n",
       "         'ghost': 1,\n",
       "         'sheet': 1,\n",
       "         'half': 20,\n",
       "         'lobster': 1,\n",
       "         'shoulders': 1,\n",
       "         'side': 11,\n",
       "         'few': 2,\n",
       "         'football': 5,\n",
       "         'standing': 6,\n",
       "         'starting': 1,\n",
       "         'line': 3,\n",
       "         'french': 4,\n",
       "         'fries': 2,\n",
       "         'beating': 3,\n",
       "         'opponent': 1,\n",
       "         'boxing': 4,\n",
       "         'match': 2,\n",
       "         'takes': 5,\n",
       "         'shot': 3,\n",
       "         'target': 6,\n",
       "         'electric': 4,\n",
       "         'seasons': 8,\n",
       "         'chili': 8,\n",
       "         'bruce': 2,\n",
       "         'lee': 1,\n",
       "         'kicking': 8,\n",
       "         'students': 1,\n",
       "         'fight': 2,\n",
       "         'shoots': 8,\n",
       "         'barrel': 1,\n",
       "         'shakes': 1,\n",
       "         'door': 6,\n",
       "         'kicks': 5,\n",
       "         'mother': 2,\n",
       "         'smiling': 3,\n",
       "         'as': 6,\n",
       "         'reads': 2,\n",
       "         'email': 1,\n",
       "         'message': 1,\n",
       "         'harem': 1,\n",
       "         'costumes': 4,\n",
       "         'front': 10,\n",
       "         'audience': 3,\n",
       "         'demonstrating': 4,\n",
       "         'how': 5,\n",
       "         'one': 5,\n",
       "         'inserting': 1,\n",
       "         'yellowish-brown': 1,\n",
       "         'substance': 11,\n",
       "         'rice': 14,\n",
       "         'ball': 22,\n",
       "         'broth': 3,\n",
       "         'tricks': 2,\n",
       "         'butterfly': 1,\n",
       "         'cow': 2,\n",
       "         'eats': 3,\n",
       "         'wad': 3,\n",
       "         'many': 4,\n",
       "         'sprinkles': 2,\n",
       "         'cucumbers': 2,\n",
       "         'laying': 3,\n",
       "         'bed': 11,\n",
       "         'biting': 6,\n",
       "         'cooked': 12,\n",
       "         'bite-sized': 3,\n",
       "         'typing': 1,\n",
       "         'stenography': 1,\n",
       "         'pasta': 5,\n",
       "         'plate': 5,\n",
       "         'rectangular': 3,\n",
       "         'container': 10,\n",
       "         'drives': 4,\n",
       "         'forehead': 2,\n",
       "         'turns': 4,\n",
       "         'grill': 4,\n",
       "         'bearded': 2,\n",
       "         'lifts': 3,\n",
       "         'blue': 6,\n",
       "         'truck': 4,\n",
       "         'jack': 1,\n",
       "         'nicholson': 1,\n",
       "         'patted': 1,\n",
       "         'bathroom': 2,\n",
       "         'car': 31,\n",
       "         'driven': 6,\n",
       "         'number': 1,\n",
       "         'ferrets': 1,\n",
       "         'wander': 1,\n",
       "         'around': 17,\n",
       "         'cage': 4,\n",
       "         'tubular': 1,\n",
       "         'looking': 7,\n",
       "         'vegetable': 10,\n",
       "         'purple': 1,\n",
       "         'comes': 1,\n",
       "         'cardboard': 5,\n",
       "         'runs': 15,\n",
       "         'tube': 3,\n",
       "         'otter': 2,\n",
       "         'ice': 5,\n",
       "         'uncooked': 3,\n",
       "         'racks': 1,\n",
       "         'ribs': 3,\n",
       "         'apart': 3,\n",
       "         'spices': 3,\n",
       "         'panda': 15,\n",
       "         'asian': 2,\n",
       "         'frying': 7,\n",
       "         'seafood': 1,\n",
       "         'grabs': 2,\n",
       "         'sail': 1,\n",
       "         'boat': 6,\n",
       "         'rocky': 1,\n",
       "         'apollo': 1,\n",
       "         'jogging': 1,\n",
       "         'sand': 2,\n",
       "         'ground': 14,\n",
       "         'deep': 6,\n",
       "         'coated': 1,\n",
       "         'pork': 8,\n",
       "         'chop': 8,\n",
       "         'scratches': 1,\n",
       "         'sink': 5,\n",
       "         'taking': 9,\n",
       "         'bath': 4,\n",
       "         'sweeping': 2,\n",
       "         'flooded': 1,\n",
       "         'room': 7,\n",
       "         'motor': 1,\n",
       "         'than': 1,\n",
       "         'puddle': 1,\n",
       "         'conversation': 2,\n",
       "         'younger': 2,\n",
       "         'demonstration': 3,\n",
       "         'cut': 7,\n",
       "         'treadmill': 3,\n",
       "         'waits': 1,\n",
       "         'people': 18,\n",
       "         'restaurant': 1,\n",
       "         'skiing': 3,\n",
       "         'moutain': 1,\n",
       "         'dessert': 1,\n",
       "         'beef': 5,\n",
       "         'flat': 2,\n",
       "         'kitchen': 1,\n",
       "         'potatoes': 3,\n",
       "         'for': 5,\n",
       "         'crowd': 2,\n",
       "         'away': 2,\n",
       "         'crack': 1,\n",
       "         'protective': 2,\n",
       "         'gear': 1,\n",
       "         'hammers': 2,\n",
       "         'concrete': 3,\n",
       "         'slab': 4,\n",
       "         'top': 5,\n",
       "         'chimpanzee': 2,\n",
       "         'martial': 1,\n",
       "         'arts': 1,\n",
       "         'who': 5,\n",
       "         'another': 16,\n",
       "         'appears': 10,\n",
       "         'sympathize': 1,\n",
       "         'driver': 1,\n",
       "         'crashes': 3,\n",
       "         'parking': 3,\n",
       "         'spot': 1,\n",
       "         'interviewed': 1,\n",
       "         'park': 1,\n",
       "         'event': 3,\n",
       "         'drills': 1,\n",
       "         'hole': 2,\n",
       "         'power': 1,\n",
       "         'drill': 2,\n",
       "         'tree': 7,\n",
       "         'rain': 5,\n",
       "         'push': 2,\n",
       "         'ups': 2,\n",
       "         'rock': 2,\n",
       "         'cucumber': 7,\n",
       "         'catches': 1,\n",
       "         'drinks': 5,\n",
       "         'clear': 2,\n",
       "         'liquid': 8,\n",
       "         'elephant': 5,\n",
       "         'hides': 1,\n",
       "         'behind': 9,\n",
       "         'adult': 4,\n",
       "         'rocking': 1,\n",
       "         'christmas': 1,\n",
       "         'card': 1,\n",
       "         'spreading': 2,\n",
       "         'split': 2,\n",
       "         'loaf': 5,\n",
       "         'bread': 18,\n",
       "         'mike': 1,\n",
       "         'song': 3,\n",
       "         'freestyle': 1,\n",
       "         'skate': 1,\n",
       "         'ramp': 1,\n",
       "         'tiger': 4,\n",
       "         'club': 2,\n",
       "         'piling': 1,\n",
       "         'tower': 1,\n",
       "         'teppanyaki': 1,\n",
       "         'telling': 1,\n",
       "         'story': 1,\n",
       "         'masks': 1,\n",
       "         'dragon': 1,\n",
       "         'kneading': 2,\n",
       "         'braiding': 1,\n",
       "         'hair': 7,\n",
       "         'player': 9,\n",
       "         'himself': 4,\n",
       "         'add': 1,\n",
       "         'yolk': 1,\n",
       "         'stir': 2,\n",
       "         'fry': 1,\n",
       "         'shrimp': 17,\n",
       "         'very': 4,\n",
       "         'busty': 1,\n",
       "         'works': 1,\n",
       "         'peeled': 4,\n",
       "         'chunks': 3,\n",
       "         'hotel': 2,\n",
       "         'applying': 7,\n",
       "         'shaving': 1,\n",
       "         'cream': 4,\n",
       "         'sprinting': 1,\n",
       "         'race': 3,\n",
       "         'finish': 1,\n",
       "         'coating': 3,\n",
       "         'gerbil': 1,\n",
       "         'wheel': 2,\n",
       "         'husky': 1,\n",
       "         'pup': 2,\n",
       "         'stare': 1,\n",
       "         'happily': 1,\n",
       "         'yard': 2,\n",
       "         'lionel': 2,\n",
       "         'richie': 2,\n",
       "         'tennis': 4,\n",
       "         'grooming': 2,\n",
       "         'tongue': 3,\n",
       "         'hamster': 5,\n",
       "         'nutshells': 1,\n",
       "         'placed': 2,\n",
       "         'maneuvering': 1,\n",
       "         'feet': 1,\n",
       "         'licking': 6,\n",
       "         'drawing': 4,\n",
       "         'watching': 6,\n",
       "         'spider': 1,\n",
       "         'raw': 12,\n",
       "         'black': 6,\n",
       "         'boar': 1,\n",
       "         'woods': 8,\n",
       "         'chopped': 4,\n",
       "         'wooden': 9,\n",
       "         'spatula': 3,\n",
       "         'heavy': 2,\n",
       "         'exercising': 4,\n",
       "         'living': 2,\n",
       "         'stir-frying': 1,\n",
       "         'wok': 3,\n",
       "         'key-board': 4,\n",
       "         'between': 3,\n",
       "         'working': 1,\n",
       "         'high': 2,\n",
       "         'red': 9,\n",
       "         'itself': 1,\n",
       "         'pulls': 2,\n",
       "         'stone': 1,\n",
       "         'path': 1,\n",
       "         'convertible': 1,\n",
       "         'slice': 8,\n",
       "         'watermelon': 4,\n",
       "         'pepperonis': 1,\n",
       "         'pizza': 8,\n",
       "         'marches': 1,\n",
       "         'parade': 1,\n",
       "         'fence': 6,\n",
       "         'jumping': 6,\n",
       "         'course': 2,\n",
       "         'stares': 2,\n",
       "         'keyboard': 5,\n",
       "         'square': 4,\n",
       "         'cubes': 2,\n",
       "         'baking': 2,\n",
       "         'angry': 1,\n",
       "         'hissing': 1,\n",
       "         'scratching': 2,\n",
       "         'straightening': 2,\n",
       "         'iron': 1,\n",
       "         'attacks': 2,\n",
       "         'scissors': 5,\n",
       "         'orange': 3,\n",
       "         'bell': 5,\n",
       "         'make-up': 2,\n",
       "         'cheeks': 1,\n",
       "         'forelegs': 1,\n",
       "         'danced': 5,\n",
       "         'hedgehog': 4,\n",
       "         'clove': 2,\n",
       "         'colored': 3,\n",
       "         'pet': 2,\n",
       "         'stuffed': 2,\n",
       "         'toy': 8,\n",
       "         'dummy': 1,\n",
       "         'guy': 8,\n",
       "         'boogie': 1,\n",
       "         'dying': 1,\n",
       "         'mans': 4,\n",
       "         'arms': 2,\n",
       "         'hugging': 1,\n",
       "         'does': 10,\n",
       "         'kart': 1,\n",
       "         ',': 40,\n",
       "         'pitcher': 1,\n",
       "         'onto': 3,\n",
       "         'nuts': 1,\n",
       "         'or': 8,\n",
       "         'seeds': 2,\n",
       "         'closet': 1,\n",
       "         'grim': 1,\n",
       "         'snowboarder': 1,\n",
       "         'trick': 2,\n",
       "         'baboon': 1,\n",
       "         'gazelle': 2,\n",
       "         'attacked': 2,\n",
       "         'round': 3,\n",
       "         'house': 5,\n",
       "         'style': 1,\n",
       "         'against': 3,\n",
       "         'boys': 6,\n",
       "         'fenced': 3,\n",
       "         'fighting': 6,\n",
       "         'swords': 1,\n",
       "         'holds': 2,\n",
       "         'air': 3,\n",
       "         'object': 3,\n",
       "         'girls': 6,\n",
       "         'team': 2,\n",
       "         'goal': 3,\n",
       "         'jackal': 1,\n",
       "         'backs': 1,\n",
       "         'workers': 1,\n",
       "         'sculpting': 1,\n",
       "         'sugar': 2,\n",
       "         'coffee': 1,\n",
       "         'night': 5,\n",
       "         'badger': 2,\n",
       "         'burrowing': 1,\n",
       "         'wok-like': 1,\n",
       "         'skillet': 7,\n",
       "         'lemur': 2,\n",
       "         'saucepan': 10,\n",
       "         'runners': 1,\n",
       "         'racing': 2,\n",
       "         'stretch': 1,\n",
       "         'leather': 1,\n",
       "         'plane': 4,\n",
       "         'juice': 2,\n",
       "         'kinds': 2,\n",
       "         'beans': 1,\n",
       "         'bowls': 2,\n",
       "         'cloves': 2,\n",
       "         'falling': 5,\n",
       "         'training': 1,\n",
       "         'wheels': 1,\n",
       "         'circles': 4,\n",
       "         'hill': 2,\n",
       "         'sticks': 2,\n",
       "         'stunt': 4,\n",
       "         'bmx': 1,\n",
       "         'wrestling': 7,\n",
       "         'underwear': 2,\n",
       "         'stalk': 2,\n",
       "         'jar': 3,\n",
       "         'basketball': 4,\n",
       "         'bundle': 1,\n",
       "         'leafy': 2,\n",
       "         'folds': 2,\n",
       "         'cheesy': 1,\n",
       "         'tortilla': 3,\n",
       "         'costume': 3,\n",
       "         'couple': 5,\n",
       "         'conversing': 1,\n",
       "         'gazebo': 2,\n",
       "         'old': 1,\n",
       "         'reading': 1,\n",
       "         'newspaper': 2,\n",
       "         'fuel': 1,\n",
       "         'flag': 2,\n",
       "         'lengthwise': 4,\n",
       "         'cell': 2,\n",
       "         'speed': 2,\n",
       "         'patting': 2,\n",
       "         'laughing': 4,\n",
       "         'giggling': 1,\n",
       "         'skipping': 1,\n",
       "         'green': 11,\n",
       "         'fast': 1,\n",
       "         'rodent': 1,\n",
       "         'what': 2,\n",
       "         'be': 8,\n",
       "         'stick': 5,\n",
       "         'photographs': 1,\n",
       "         'traveling': 1,\n",
       "         'city': 2,\n",
       "         'loading': 1,\n",
       "         'trunk': 3,\n",
       "         'cracking': 3,\n",
       "         'basket': 1,\n",
       "         'lying': 5,\n",
       "         'sits': 1,\n",
       "         'alligator': 1,\n",
       "         'pipe': 1,\n",
       "         'cats': 3,\n",
       "         'ear': 1,\n",
       "         'going': 5,\n",
       "         'carnival': 2,\n",
       "         'ride': 2,\n",
       "         'yellowish': 1,\n",
       "         'cows': 1,\n",
       "         'synchronized': 5,\n",
       "         'goose': 1,\n",
       "         'after': 3,\n",
       "         'bites': 3,\n",
       "         'him': 6,\n",
       "         'cooks': 1,\n",
       "         'approached': 1,\n",
       "         'jeep': 1,\n",
       "         'dicing': 6,\n",
       "         'padded': 1,\n",
       "         'watch': 3,\n",
       "         'grating': 3,\n",
       "         'stew-like': 1,\n",
       "         'mixture': 5,\n",
       "         'onstage': 5,\n",
       "         'create': 1,\n",
       "         'human': 1,\n",
       "         'pyramid': 1,\n",
       "         'two-piece': 1,\n",
       "         'bathing': 2,\n",
       "         'suits': 2,\n",
       "         'weight': 2,\n",
       "         'exercise': 4,\n",
       "         'steep': 1,\n",
       "         'cliff': 2,\n",
       "         'eggplant': 1,\n",
       "         'shoot': 2,\n",
       "         'oven': 5,\n",
       "         'motorcyclist': 1,\n",
       "         'donuts': 1,\n",
       "         'polar': 5,\n",
       "         'looks': 2,\n",
       "         'fluid': 1,\n",
       "         'hits': 4,\n",
       "         'volleyballs': 1,\n",
       "         'getting': 4,\n",
       "         'painted': 2,\n",
       "         'artist': 1,\n",
       "         'flowers': 3,\n",
       "         'cars': 2,\n",
       "         'goalie': 1,\n",
       "         'blocks': 1,\n",
       "         'rehearsing': 1,\n",
       "         'movements': 1,\n",
       "         'instrument': 2,\n",
       "         'children': 5,\n",
       "         'playground': 1,\n",
       "         'flee': 1,\n",
       "         'when': 1,\n",
       "         'rains': 1,\n",
       "         'snow': 10,\n",
       "         'leopard': 2,\n",
       "         'its': 7,\n",
       "         'flips': 1,\n",
       "         'trampoline': 3,\n",
       "         'string': 2,\n",
       "         'doll': 1,\n",
       "         'child': 2,\n",
       "         'forrest': 1,\n",
       "         'shirtless': 3,\n",
       "         'pull-ups': 2,\n",
       "         'frame': 1,\n",
       "         'dips': 2,\n",
       "         'batter': 4,\n",
       "         'carrying': 5,\n",
       "         'canvas': 1,\n",
       "         'sacks': 1,\n",
       "         'they': 2,\n",
       "         'carpet': 1,\n",
       "         'hunting': 1,\n",
       "         'ladies': 2,\n",
       "         'dresses': 1,\n",
       "         'placing': 4,\n",
       "         'skewers': 1,\n",
       "         'kind': 4,\n",
       "         'cooking': 3,\n",
       "         'apparatus': 3,\n",
       "         'excess': 1,\n",
       "         'fat': 2,\n",
       "         'outruns': 1,\n",
       "         'elephants': 2,\n",
       "         'digging': 2,\n",
       "         'took': 1,\n",
       "         'pink': 5,\n",
       "         'bathtub': 2,\n",
       "         'throwing': 2,\n",
       "         'blades': 1,\n",
       "         'close': 2,\n",
       "         'guitars': 1,\n",
       "         'cop': 1,\n",
       "         'rams': 1,\n",
       "         'barriers': 1,\n",
       "         'japanese': 1,\n",
       "         'finely': 4,\n",
       "         'leek': 1,\n",
       "         'jungle': 4,\n",
       "         'peels': 1,\n",
       "         'fingers': 4,\n",
       "         'bottom': 2,\n",
       "         'skin': 6,\n",
       "         'pineapple': 2,\n",
       "         'walk': 1,\n",
       "         'pole': 2,\n",
       "         'dices': 2,\n",
       "         'fighter': 1,\n",
       "         'slammed': 1,\n",
       "         'punched': 1,\n",
       "         'frog': 2,\n",
       "         'persons': 1,\n",
       "         'showing': 1,\n",
       "         'blush': 1,\n",
       "         'powder': 1,\n",
       "         'leaping': 1,\n",
       "         'forward': 2,\n",
       "         'sinking': 1,\n",
       "         'female': 6,\n",
       "         'gymnast': 1,\n",
       "         'flip': 2,\n",
       "         'wrong': 1,\n",
       "         'doorway': 1,\n",
       "         'soup': 2,\n",
       "         'metal': 6,\n",
       "         'cook': 5,\n",
       "         'cheese': 5,\n",
       "         'dish': 8,\n",
       "         'seasoning': 4,\n",
       "         'sausage': 1,\n",
       "         'bald': 2,\n",
       "         'acoustical': 2,\n",
       "         'lot': 1,\n",
       "         'bouncing': 2,\n",
       "         'paws': 1,\n",
       "         'run': 2,\n",
       "         'diced': 3,\n",
       "         'whisk': 2,\n",
       "         'ingredient': 1,\n",
       "         'karate': 3,\n",
       "         'gloves': 2,\n",
       "         'inside': 3,\n",
       "         'checking': 2,\n",
       "         'calendar': 1,\n",
       "         'spaghetti': 5,\n",
       "         'fork': 2,\n",
       "         'slows': 1,\n",
       "         'stops': 2,\n",
       "         'hall': 1,\n",
       "         'stacking': 1,\n",
       "         'pumpkins': 1,\n",
       "         'removing': 2,\n",
       "         'next': 1,\n",
       "         'staircase': 3,\n",
       "         'pulling': 4,\n",
       "         'veins': 1,\n",
       "         'toothpick': 1,\n",
       "         'griddle': 1,\n",
       "         'reporting': 1,\n",
       "         'news': 1,\n",
       "         'reel': 1,\n",
       "         'shark': 2,\n",
       "         'sea': 1,\n",
       "         'pull-tab': 1,\n",
       "         'mouse': 2,\n",
       "         'fruit': 2,\n",
       "         'knocked': 2,\n",
       "         'seated': 5,\n",
       "         'goals': 1,\n",
       "         'barking': 3,\n",
       "         'tray': 2,\n",
       "         'trainers': 1,\n",
       "         'explaining': 2,\n",
       "         'do': 3,\n",
       "         'paprika': 1,\n",
       "         'pudding': 3,\n",
       "         'telephone': 2,\n",
       "         'wrapped': 1,\n",
       "         'towels': 2,\n",
       "         ...})"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the no. of each word\n",
    "counter = Counter()  \n",
    "for cap in captions.values():\n",
    "    tokens = nltk.tokenize.word_tokenize(cap, language='english', preserve_line=False) \n",
    "    counter.update(tokens)\n",
    "print('word table length: ', len(counter))\n",
    "counter "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create dictionary\n",
    "char2idx = {'sos': 0, 'eos': 1, 'pad': 2, 'unk': 3}\n",
    "idx2char = {0: 'sos', 1: 'eos', 2: 'pad', 3: 'unk'}\n",
    "num_chars = 4\n",
    "\n",
    "for char in counter.keys():\n",
    "    char2idx[char] = num_chars\n",
    "    idx2char[num_chars] = char\n",
    "    num_chars += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "other tokens：<PAD>, <BOS>, <EOS>, <UNK>  \n",
    "-  <pad>  ：Pad the sentencen to the same length\n",
    "-  <bos>  ：Begin of sentence, a sign to generate the output sentence.\n",
    "-  <eos>  ：End of sentence, a sign of the end of the output sentence.\n",
    "-  <unk> ：Use this token when the word isn’t in the dictionary or just ignore the unknown word.\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convert captions(string) to index(int)\n",
    "* Adjust all captions to same length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cap_to_idx(captions, max_length=15):\n",
    "    \"\"\"Transform a char sequence to index sequence\n",
    "    \"\"\"\n",
    "    idx_captions = {}\n",
    "    \n",
    "    for idx, cap in captions.items():\n",
    "        i = 0\n",
    "        index_sequence = [char2idx['sos']] #start word\n",
    "        for char in cap.split(' '):\n",
    "            if char not in char2idx:\n",
    "                index_sequence.append((char2idx['unk']))\n",
    "            else:\n",
    "                index_sequence.append(char2idx[char])\n",
    "            i +=1\n",
    "            if i >= 14: break\n",
    "        while i <= 14:\n",
    "            index_sequence.append(char2idx['pad'])\n",
    "            i+=1\n",
    "        index_sequence.append(char2idx['eos'])\n",
    "        idx_captions[idx] = index_sequence\n",
    "    return idx_captions\n",
    "\n",
    "\n",
    "\n",
    "def idx_to_cap(indices):\n",
    "    \"\"\"Transform a list of indices\n",
    "        :param indices: a list\n",
    "    \"\"\"\n",
    "    sequence = \"\"\n",
    "    for idx in indices:\n",
    "        char = idx2char[idx]\n",
    "        if char == \"eos\":\n",
    "            break\n",
    "        else:\n",
    "            sequence = sequence + ' '+ char\n",
    "    return sequence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 4, 111, 17, 1203, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1]\n",
      " sos a person is itching a unk pad pad pad pad pad pad pad pad pad\n"
     ]
    }
   ],
   "source": [
    "# getting training label with same length\n",
    "train_label = cap_to_idx(captions)\n",
    "print(train_label[738])\n",
    "print(idx_to_cap(train_label[738]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video - caption pair with batchs\n",
    "### input size of rnn is (batch_size, seq_len, input_size) => (one_epoch, batch_size, seq_len, input_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch.autograd import Variable\n",
    "\n",
    "def mini_batch(train_x, train_y, batch_size=50):\n",
    "\n",
    "    mini_batches = []\n",
    "    \n",
    "    data_idx = np.array(list(train_label.keys()))\n",
    "    np.random.shuffle(data_idx)\n",
    "    one_epoch = int(len(train_x)/batch_size)\n",
    "    \n",
    "    # take each batch of data index \n",
    "    for k in range(one_epoch):\n",
    "        mini_batches.append(data_idx[k*batch_size : (k+1)*batch_size])\n",
    "    \n",
    "    for each_batch in mini_batches:\n",
    "        input_batch = []\n",
    "        target_batch = []\n",
    "        for idx in each_batch:\n",
    "            input_batch.append(train_x[idx, :, :, :])\n",
    "            target_batch.append(train_y[idx])\n",
    "            \n",
    "        input_batch = np.array(input_batch)\n",
    "        shape = input_batch.shape\n",
    "        input_batch = input_batch.reshape(shape[0],shape[1], shape[2]*shape[3])\n",
    "        target_batch = np.array(target_batch)\n",
    "        \n",
    "        input_var = Variable(torch.FloatTensor(input_batch)) \n",
    "        target_var = Variable(torch.LongTensor(target_batch))\n",
    "        yield input_var, target_var   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([10, 30, 4096])\n",
      "torch.Size([10, 17])\n"
     ]
    }
   ],
   "source": [
    "# check training data shape\n",
    "input_data = mini_batch(train_input, train_label, batch_size=10)\n",
    "\n",
    "for input_batch, target_batch in input_data:\n",
    "    print(input_batch.shape)\n",
    "    print(target_batch.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Note: In pytorch, no need converting index to onehot\n",
    "![](./image/no_onehot.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pretrained image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torchvision.models as models\n",
    "# <pretrained=True> to get pretrained model\n",
    "\n",
    "\n",
    "resnet18 = models.resnet18(pretrained=True)\n",
    "alexnet = models.alexnet(pretrained=True)\n",
    "squeezenet = models.squeezenet1_0(pretrained=True)\n",
    "vgg16 = models.vgg16(pretrained=True)\n",
    "\n",
    "# All pre-trained models expect input images normalized in the same way, \n",
    "# i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), \n",
    "# where H and W are expected to be at least 224. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# seq2seq Model with Attentions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import random\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import torch.nn.functional as F\n",
    "from torch.autograd import Variable\n",
    "from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# seq2seq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "class S2VTAttModel(nn.Module):\n",
    "    \n",
    "    def __init__(self, encoder, decoder):\n",
    "        super(S2VTAttModel, self).__init__()\n",
    "        self.encoder = encoder\n",
    "        self.decoder = decoder\n",
    "\n",
    "    def forward(self, vid_feats, target_variable=None):\n",
    "        \"\"\"\n",
    "        vid_feats (Variable): video feats of shape [batch_size, seq_len, dim_vid]\n",
    "        target_variable (None, optional): groung truth labels\n",
    "        \n",
    "        Returns:\n",
    "            seq_prob: Variable of shape [batch_size, max_len-1, vocab_size]\n",
    "            seq_preds: [] or Variable of shape [batch_size, max_len-1]\n",
    "        \"\"\"\n",
    "        encoder_outputs, encoder_hidden = self.encoder(vid_feats)\n",
    "        seq_prob, seq_preds = self.decoder(encoder_outputs, encoder_hidden, target_variable)\n",
    "        return seq_prob, seq_preds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "class EncoderRNN(nn.Module):\n",
    "    def __init__(self, dim_vid, dim_hidden, input_dropout_p=0.2, rnn_dropout_p=0.5,\n",
    "                 n_layers=1, bidirectional=False):\n",
    "        \"\"\"\n",
    "        Args:\n",
    "            hidden_dim (int): dim of hidden state of rnn\n",
    "            input_dropout_p (int): dropout probability for the input sequence\n",
    "            dropout_p (float): dropout probability for the output sequence\n",
    "            n_layers (int): number of rnn layers\n",
    "            rnn_cell (str): type of RNN cell ('LSTM'/'GRU')\n",
    "        \"\"\"\n",
    "        super(EncoderRNN, self).__init__()\n",
    "        \n",
    "        # parameters of RNN model\n",
    "        self.dim_vid = dim_vid\n",
    "        self.dim_hidden = dim_hidden\n",
    "        self.input_dropout_p = input_dropout_p\n",
    "        self.rnn_dropout_p = rnn_dropout_p\n",
    "        self.n_layers = n_layers\n",
    "        self.bidirectional = bidirectional\n",
    "\n",
    "        # \n",
    "        self.vid2hid = nn.Linear(dim_vid, dim_hidden)\n",
    "        self.input_dropout = nn.Dropout(input_dropout_p)\n",
    "            \n",
    "            \n",
    "        # Initializing RNN model\n",
    "        self.rnn = nn.GRU(dim_vid, dim_hidden, n_layers, batch_first=True,\n",
    "                                bidirectional=bidirectional, dropout=self.rnn_dropout_p)\n",
    "\n",
    "\n",
    "    def forward(self, vid_feats):\n",
    "        batch_size, seq_len, dim_vid = vid_feats.size()\n",
    "        vid_feats = vid_feats.view(batch_size, seq_len, dim_vid)\n",
    "        self.rnn.flatten_parameters()\n",
    "        \n",
    "        output, hidden = self.rnn(vid_feats)\n",
    "        return output, hidden"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attention"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Attention(nn.Module):\n",
    "    \"\"\"\n",
    "    Applies an attention mechanism on the output features from the decoder.\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, dim):\n",
    "        super(Attention, self).__init__()\n",
    "        self.dim = dim\n",
    "        self.linear1 = nn.Linear(dim * 2, dim)\n",
    "        self.linear2 = nn.Linear(dim, 1, bias=False) \n",
    "        \n",
    "\n",
    "    def forward(self, hidden_state, encoder_outputs):\n",
    "        \"\"\"\n",
    "        Arguments:\n",
    "            hidden_state {Variable} -- batch_size x dim\n",
    "            encoder_outputs {Variable} -- batch_size x seq_len x dim\n",
    "        Returns:\n",
    "            Variable -- context vector of size batch_size x dim\n",
    "        \"\"\"\n",
    "        batch_size, seq_len, _ = encoder_outputs.size()\n",
    "        hidden_state = hidden_state.unsqueeze(1).repeat(1, seq_len, 1)\n",
    "        \n",
    "        # cat Encoder outputs and key condition\n",
    "        inputs = torch.cat((encoder_outputs, hidden_state),2).view(-1, self.dim * 2)\n",
    "        \n",
    "        o = self.linear1(inputs) \n",
    "        o = F.tanh(o)            \n",
    "        o = self.linear2(o)      \n",
    "        e = o.view(batch_size, seq_len)\n",
    "        \n",
    "        alpha = F.softmax(e, dim=1) # weight\n",
    "        context = torch.bmm(alpha.unsqueeze(1), encoder_outputs).squeeze(1)\n",
    "        \n",
    "        return context"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Decoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DecoderRNN(nn.Module):\n",
    "    def __init__(self,\n",
    "                 vocab_size,\n",
    "                 max_len,\n",
    "                 dim_hidden,\n",
    "                 dim_word,\n",
    "                 n_layers=1,\n",
    "                 bidirectional=False,\n",
    "                 input_dropout_p=0.1,\n",
    "                 rnn_dropout_p=0.1):\n",
    "        super(DecoderRNN, self).__init__()\n",
    "        \n",
    "\n",
    "        self.bidirectional_encoder = bidirectional\n",
    "        self.dim_output = vocab_size\n",
    "        self.dim_hidden = dim_hidden * 2 if bidirectional else dim_hidden\n",
    "        self.dim_word = dim_word\n",
    "        self.max_length = max_len\n",
    "        \n",
    "        # Initialization: Dropout / Embedding / Attention\n",
    "        self.input_dropout = nn.Dropout(input_dropout_p)\n",
    "        self.embedding = nn.Embedding(self.dim_output, dim_word)\n",
    "        self.attention = Attention(self.dim_hidden)\n",
    "            \n",
    "        # Initializing RNN model\n",
    "        self.rnn = nn.GRU( self.dim_hidden + dim_word,\n",
    "                                  self.dim_hidden,\n",
    "                                  n_layers,\n",
    "                                  batch_first=True,\n",
    "                                  dropout=rnn_dropout_p )\n",
    "        \n",
    "        self.out = nn.Linear(self.dim_hidden, self.dim_output)\n",
    "        \n",
    "\n",
    "    def forward( self,\n",
    "                 encoder_outputs,\n",
    "                 encoder_hidden,\n",
    "                 targets=None,\n",
    "                 opt={} ):\n",
    "        \n",
    "        sample_max = opt.get('sample_max', 1)\n",
    "        beam_size = opt.get('beam_size', 1)\n",
    "        temperature = opt.get('temperature', 1.0)\n",
    "\n",
    "        batch_size, _, _ = encoder_outputs.size()\n",
    "        \n",
    "        # \n",
    "        decoder_hidden = self._init_rnn_state(encoder_hidden)\n",
    "\n",
    "        \n",
    "        seq_logprobs = []\n",
    "        seq_preds = []\n",
    "        \n",
    "        self.rnn.flatten_parameters()\n",
    "        targets_emb = self.embedding(targets)\n",
    "        \n",
    "        for i in range(self.max_length):\n",
    "            current_words = targets_emb[:, i, :]\n",
    "            \n",
    "            # Get attention context by the condition of decoder_hidden\n",
    "            context = self.attention(decoder_hidden.squeeze(0), encoder_outputs)\n",
    "            \n",
    "            # Decoder \n",
    "            decoder_input = torch.cat([current_words, context], dim=1)\n",
    "            decoder_input = self.input_dropout(decoder_input).unsqueeze(1)          \n",
    "            decoder_output, decoder_hidden = self.rnn(\n",
    "                                                  decoder_input, decoder_hidden)\n",
    "            # output\n",
    "            logprobs = F.log_softmax(\n",
    "                             self.out(decoder_output.squeeze(1)), dim=1)\n",
    "            seq_logprobs.append(logprobs.unsqueeze(1))\n",
    "\n",
    "        seq_logprobs = torch.cat(seq_logprobs, 1)\n",
    "        return seq_logprobs, seq_preds\n",
    "    \n",
    "    \n",
    "        \n",
    "\n",
    "    def _init_rnn_state(self, encoder_hidden):\n",
    "        \"\"\" Initialize the encoder hidden state. \"\"\"\n",
    "        if encoder_hidden is None:\n",
    "            return None\n",
    "        if isinstance(encoder_hidden, tuple):\n",
    "            encoder_hidden = tuple(\n",
    "                [self._cat_directions(h) for h in encoder_hidden])\n",
    "        else:\n",
    "            encoder_hidden = self._cat_directions(encoder_hidden)\n",
    "        return encoder_hidden\n",
    "    \n",
    "    \n",
    "    def _cat_directions(self, h):\n",
    "        \"\"\" If the encoder is bidirectional, do the following transformation.\n",
    "            (#directions * #layers, #batch, dim_hidden) -> (#layers, #batch, #directions * dim_hidden)\n",
    "        \"\"\"\n",
    "        if self.bidirectional_encoder:\n",
    "            h = torch.cat([h[0:h.size(0):2], h[1:h.size(0):2]], 2)\n",
    "        return h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_loss(decoder_outputs, targets):\n",
    "    b = decoder_outputs.size(0)\n",
    "    t = decoder_outputs.size(1)\n",
    "    targets = targets.contiguous().view(-1)  # S = (B*T)\n",
    "    decoder_outputs = decoder_outputs.view(b * t, -1)  # S = (B*T) x V\n",
    "    loss_func = nn.CrossEntropyLoss()\n",
    "    return loss_func(decoder_outputs, targets)\n",
    "\n",
    "\n",
    "def train(train_input, train_label, model, optimizer, opt):\n",
    "    model.train()\n",
    "    for epoch in range(2):\n",
    "        input_data = mini_batch(train_input, train_label, batch_size=10)\n",
    "        \n",
    "        for fc_feats, target in input_data:\n",
    "            # Training model\n",
    "            optimizer.zero_grad()\n",
    "            decoder_outputs, seq_preds = model(fc_feats, target)\n",
    "\n",
    "            loss = get_loss(decoder_outputs, target)\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "def main(opt, train_input, train_label, vocab_size):\n",
    "    \n",
    "    opt[\"vocab_size\"] = vocab_size\n",
    "    \n",
    "\n",
    "    # Initializing Encoder model\n",
    "    encoder = EncoderRNN(\n",
    "        opt[\"dim_vid\"],\n",
    "        opt[\"dim_hidden\"],\n",
    "        input_dropout_p=opt[\"input_dropout_p\"],\n",
    "        rnn_dropout_p=opt[\"rnn_dropout_p\"])\n",
    "    \n",
    "    # Initializing Dncoder model\n",
    "    decoder = DecoderRNN(\n",
    "        opt[\"vocab_size\"],\n",
    "        opt[\"max_len\"],\n",
    "        opt[\"dim_hidden\"],\n",
    "        opt[\"dim_word\"],\n",
    "        input_dropout_p=opt[\"input_dropout_p\"],\n",
    "        rnn_dropout_p=opt[\"rnn_dropout_p\"])\n",
    "    \n",
    "    \n",
    "    # Initializing seq2seq model\n",
    "    model = S2VTAttModel(encoder, decoder) \n",
    "    \n",
    "    \n",
    "    optimizer = optim.Adam(\n",
    "                      model.parameters(),\n",
    "                      lr=opt[\"learning_rate\"],\n",
    "                      weight_decay=opt[\"weight_decay\"])\n",
    "    \n",
    "    \n",
    "    # Call 'train' function to training model\n",
    "    train(train_input, train_label, model, optimizer, opt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "opt = { 'model': 'S2VTAttModel',\n",
    "        'rnn_type': 'gru',\n",
    "       \n",
    "        'dim_hidden': 1024,\n",
    "        'dim_word': 512,\n",
    "        'dim_vid': 4096,\n",
    "        'max_len': 17,\n",
    "        \n",
    "        'num_layers': 1,\n",
    "        'input_dropout_p': 0.2,\n",
    "        'rnn_dropout_p': 0.5,\n",
    "\n",
    "        'learning_rate': 4e-4,\n",
    "        'learning_rate_decay_every':200,\n",
    "        'learning_rate_decay_rate': 0.8,\n",
    "        'optim_alpha': 0.9,\n",
    "        'optim_beta': 0.999,\n",
    "        'optim_epsilon': 1e-8,\n",
    "        'weight_decay': 5e-4,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "if __name__ == '__main__':\n",
    "    main(opt, train_input, train_label, 2000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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